National Library of Energy BETA

Sample records for optimization cxs applied

  1. Applying the Battery Ownership Model in Pursuit of Optimal Battery...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies 2012 DOE ...

  2. HPC CLOUD APPLIED TO LATTICE OPTIMIZATION

    SciTech Connect (OSTI)

    Sun, Changchun; Nishimura, Hiroshi; James, Susan; Song, Kai; Muriki, Krishna; Qin, Yong

    2011-03-18

    As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advanced Light Source (ALS) have been running Lattice Optimization on a local cluster, but the queue wait time and the flexibility to request compute resources when needed are not ideal for rapid development work. To explore alternatives, for the first time we investigate running the Lattice Optimization application on Amazon's new CCI to demonstrate the feasibility and trade-offs of using public cloud services for science.

  3. Final Technical Report for "Applied Mathematics Research: Simulation Based Optimization and Application to Electromagnetic Inverse Problems"

    SciTech Connect (OSTI)

    Haber, Eldad

    2014-03-17

    The focus of research was: Developing adaptive mesh for the solution of Maxwell's equations; Developing a parallel framework for time dependent inverse Maxwell's equations; Developing multilevel methods for optimization problems with inequal- ity constraints; A new inversion code for inverse Maxwell's equations in the 0th frequency (DC resistivity); A new inversion code for inverse Maxwell's equations in low frequency regime. Although the research concentrated on electromagnetic forward and in- verse problems the results of the research was applied to the problem of image registration.

  4. Apply

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Apply Application Process Bringing together top, space science students with internationally recognized researchers at Los Alamos in an educational and collaborative atmosphere. Contacts Director Misa Cowee Email Administrative Assistant Mary Wubbena Email Request more information Email Applications for the 2016 summer school are now closed. Applications were due on February 5, 2016. PLEASE NOTE: After the 2016 session, the program will not be offered again until 2018. Before applying Check your

  5. Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies (Presentation)

    SciTech Connect (OSTI)

    Neubauer, J.; Ahmad, P.; Brooker, A.; Wood, E.; Smith, K.; Johnson, C.; Mendelsohn, M.

    2012-05-01

    This Annual Merit Review presentation describes the application of the Battery Ownership Model for strategies for optimal battery use in electric drive vehicles (PEVs, PHEVs, and BEVs).

  6. Systematic analysis of protein–detergent complexes applying dynamic light scattering to optimize solutions for crystallization trials

    SciTech Connect (OSTI)

    Meyer, Arne [University of Hamburg, c/o DESY, Building 22a, Notkestrasse 85, 22603 Hamburg (Germany); Dierks, Karsten [University of Hamburg, c/o DESY, Building 22a, Notkestrasse 85, 22603 Hamburg (Germany); XtalConcepts, Marlowring 19, 22525 Hamburg (Germany); Hussein, Rana [University of Hamburg, c/o DESY, Building 22a, Notkestrasse 85, 22603 Hamburg (Germany); Brillet, Karl [ESBS, Pôle API, 300 Boulevard Sébastien Brant, CS10413, 67412 Illkirch CEDEX (France); Brognaro, Hevila [Săo Paulo State University, UNESP/IBILCE, Caixa Postal 136, Săo José do Rio Preto-SP, 15054 (Brazil); Betzel, Christian, E-mail: christian.betzel@uni-hamburg.de [University of Hamburg, c/o DESY, Building 22a, Notkestrasse 85, 22603 Hamburg (Germany)

    2015-01-01

    Application of in situ dynamic light scattering to solutions of protein–detergent complexes permits characterization of these complexes in samples as small as 2 µl in volume. Detergents are widely used for the isolation and solubilization of membrane proteins to support crystallization and structure determination. Detergents are amphiphilic molecules that form micelles once the characteristic critical micelle concentration (CMC) is achieved and can solubilize membrane proteins by the formation of micelles around them. The results are presented of a study of micelle formation observed by in situ dynamic light-scattering (DLS) analyses performed on selected detergent solutions using a newly designed advanced hardware device. DLS was initially applied in situ to detergent samples with a total volume of approximately 2 µl. When measured with DLS, pure detergents show a monodisperse radial distribution in water at concentrations exceeding the CMC. A series of all-transn-alkyl-?-d-maltopyranosides, from n-hexyl to n-tetradecyl, were used in the investigations. The results obtained verify that the application of DLS in situ is capable of distinguishing differences in the hydrodynamic radii of micelles formed by detergents differing in length by only a single CH{sub 2} group in their aliphatic tails. Subsequently, DLS was applied to investigate the distribution of hydrodynamic radii of membrane proteins and selected water-insoluble proteins in presence of detergent micelles. The results confirm that stable protein–detergent complexes were prepared for (i) bacteriorhodopsin and (ii) FetA in complex with a ligand as examples of transmembrane proteins. A fusion of maltose-binding protein and the Duck hepatitis B virus X protein was added to this investigation as an example of a non-membrane-associated protein with low water solubility. The increased solubility of this protein in the presence of detergent could be monitored, as well as the progress of proteolytic cleavage to separate the fusion partners. This study demonstrates the potential of in situ DLS to optimize solutions of protein–detergent complexes for crystallization applications.

  7. DEVELOPMENT OF A KINETIC MODEL OF BOEHMITE DISSOLUTION IN CAUSTIC SOLUTIONS APPLIED TO OPTIMIZE HANFORD WASTE PROCESSING

    SciTech Connect (OSTI)

    DISSELKAMP RS

    2011-01-06

    Boehmite (e.g., aluminum oxyhydroxide) is a major non-radioactive component in Hanford and Savannah River nuclear tank waste sludge. Boehmite dissolution from sludge using caustic at elevated temperatures is being planned at Hanford to minimize the mass of material disposed of as high-level waste (HLW) during operation of the Waste Treatment Plant (WTP). To more thoroughly understand the chemistry of this dissolution process, we have developed an empirical kinetic model for aluminate production due to boehmite dissolution. Application of this model to Hanford tank wastes would allow predictability and optimization of the caustic leaching of aluminum solids, potentially yielding significant improvements to overall processing time, disposal cost, and schedule. This report presents an empirical kinetic model that can be used to estimate the aluminate production from the leaching of boehmite in Hanford waste as a function of the following parameters: (1) hydroxide concentration; (2) temperature; (3) specific surface area of boehmite; (4) initial soluble aluminate plus gibbsite present in waste; (5) concentration of boehmite in the waste; and (6) (pre-fit) Arrhenius kinetic parameters. The model was fit to laboratory, non-radioactive (e.g. 'simulant boehmite') leaching results, providing best-fit values of the Arrhenius A-factor, A, and apparent activation energy, E{sub A}, of A = 5.0 x 10{sup 12} hour{sup -1} and E{sub A} = 90 kJ/mole. These parameters were then used to predict boehmite leaching behavior observed in previously reported actual waste leaching studies. Acceptable aluminate versus leaching time profiles were predicted for waste leaching data from both Hanford and Savannah River site studies.

  8. Sandia Energy - Applied Turbulent Combustion

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    submodels that bridge fundamental energy sciences with applied device engineering and optimization. Turbulent-combustion-lab1-300x218 Complementary burner facilities with...

  9. Optimizing Performance

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimizing Performance Optimizing Performance Storage Optimization Optimizing the sizes of the files you store in HPSS and minimizing the number of tapes they are on will lead to...

  10. CX-003164: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...

  11. Applied Science/Techniques

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Applied Science/Techniques Applied Science/Techniques Print The ALS is an excellent incubator of new scientific techniques and instrumentation. Many of the technical advances that make the ALS a world-class soft x-ray facility are developed at the ALS itself. The optical components in use at the ALS-mirrors and lenses optimized for x-ray wavelengths-require incredibly high-precision surfaces and patterns (often formed through extreme ultraviolet lithography at the ALS) and must undergo rigorous

  12. Performing aggressive code optimization with an ability to rollback...

    Office of Scientific and Technical Information (OSTI)

    code version, in which the unsafe optimization is applied, and a conservatively compiled code version in which the unsafe optimization is not applied. The compiler stores both...

  13. Applied combustion

    SciTech Connect (OSTI)

    1993-12-31

    From the title, the reader is led to expect a broad practical treatise on combustion and combustion devices. Remarkably, for a book of modest dimension, the author is able to deliver. The text is organized into 12 Chapters, broadly treating three major areas: combustion fundamentals -- introduction (Ch. 1), thermodynamics (Ch. 2), fluid mechanics (Ch. 7), and kinetics (Ch. 8); fuels -- coal, municipal solid waste, and other solid fuels (Ch. 4), liquid (Ch. 5) and gaseous (Ch. 6) fuels; and combustion devices -- fuel cells (Ch. 3), boilers (Ch. 4), Otto (Ch. 10), diesel (Ch. 11), and Wankel (Ch. 10) engines and gas turbines (Ch. 12). Although each topic could warrant a complete text on its own, the author addresses each of these major themes with reasonable thoroughness. Also, the book is well documented with a bibliography, references, a good index, and many helpful tables and appendices. In short, Applied Combustion does admirably fulfill the author`s goal for a wide engineering science introduction to the general subject of combustion.

  14. Applied Science/Techniques

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Applied Science/Techniques Print The ALS is an excellent incubator of new scientific techniques and instrumentation. Many of the technical advances that make the ALS a world-class soft x-ray facility are developed at the ALS itself. The optical components in use at the ALS-mirrors and lenses optimized for x-ray wavelengths-require incredibly high-precision surfaces and patterns (often formed through extreme ultraviolet lithography at the ALS) and must undergo rigorous calibration and testing

  15. mhtml:file://H:\CATX\APPROVED-CXS\EERE FOA 1201 - Rankine Cycle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Eaton Corporation STATE: WI PROJECT TITLE : Affordable Rankine Cycle Waste Heat Recovery for Heavy Duty Trucks Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number DE-FOA-0001201 DE-EE0007286 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.1A), I have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: B3.6 Small-scale research and

  16. Physics and optimization of plasma startup in the RFP

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Please note that terms and conditions apply. Physics and optimization of plasma startup in ... Fusion 55 (2015) 053004 (13pp) doi:10.10880029-5515555053004 Physics and optimization ...

  17. Debt Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    IPR 2008 Capital Investment Review CIR 2012 Quarterly Business Review Focus 2028 2011 Strategic Capital Discussions Access to Capital Debt Optimization Asset Management Cost...

  18. Optimizing Performance

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimizing Performance Optimizing Performance Storage Optimization Optimizing the sizes of the files you store in HPSS and minimizing the number of tapes they are on will lead to the most effient use of NERSC HPSS: File sizes of about 1 GB or larger will give the best network performance (see graph below) Files sizes greater than about 500 GB can be more difficult to work with and lead to longer transfer times. Files larger than 15 TB cannot be uploaded to HPSS. Aggregate groups of small files

  19. Crivelli, Silvia; Meza, Juan 60 APPLIED LIFE SCIENCES Ernest...

    Office of Scientific and Technical Information (OSTI)

    folding via divide-and-conquer optimization Oliva, Ricardo; Crivelli, Silvia; Meza, Juan 60 APPLIED LIFE SCIENCES Ernest Orlando Lawrence Berkeley NationalLaboratory, Berkeley, CA...

  20. Performing aggressive code optimization with an ability to rollback changes made by the aggressive optimizations

    DOE Patents [OSTI]

    Gschwind, Michael K

    2013-07-23

    Mechanisms for aggressively optimizing computer code are provided. With these mechanisms, a compiler determines an optimization to apply to a portion of source code and determines if the optimization as applied to the portion of source code will result in unsafe optimized code that introduces a new source of exceptions being generated by the optimized code. In response to a determination that the optimization is an unsafe optimization, the compiler generates an aggressively compiled code version, in which the unsafe optimization is applied, and a conservatively compiled code version in which the unsafe optimization is not applied. The compiler stores both versions and provides them for execution. Mechanisms are provided for switching between these versions during execution in the event of a failure of the aggressively compiled code version. Moreover, predictive mechanisms are provided for predicting whether such a failure is likely.

  1. How To Apply

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CSCNSI How To Apply How to Apply for Computer System, Cluster, and Networking Summer Institute Emphasizes practical skills development Contact Leader Stephan Eidenbenz (505)...

  2. Applied Research Center

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ARC Privacy and Security Notice Skip over navigation Search the JLab Site Applied Research Center Please upgrade your browser. This site's design is only visible in a graphical browser that supports web standards, but its content is accessible to any browser. Concerns? Applied Research Center ARC Home Consortium News EH&S Reports print version ARC Resources Commercial Tenants ARC Brochure Library Conference Room Applied Research Center Applied Research Center front view Applied Research

  3. Performing aggressive code optimization with an ability to rollback changes

    Office of Scientific and Technical Information (OSTI)

    made by the aggressive optimizations (Patent) | SciTech Connect Performing aggressive code optimization with an ability to rollback changes made by the aggressive optimizations Citation Details In-Document Search Title: Performing aggressive code optimization with an ability to rollback changes made by the aggressive optimizations Mechanisms for aggressively optimizing computer code are provided. With these mechanisms, a compiler determines an optimization to apply to a portion of source

  4. Performance and Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimization Performance and Optimization Performance Monitoring Last edited: 2012-01-09 12:31:03

  5. Performance and Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimization Performance and Optimization Performance Monitoring Last edited: 2012-01-09 12:31:03...

  6. CX-009297: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied: A9 Date: 08/31/2012 Location(s): Massachusetts, Italy Offices(s): National Energy Technology Laboratory

  7. CX-009299: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied: B3.6 Date: 08/31/2012 Location(s): Georgia Offices(s): National Energy Technology Laboratory

  8. CX-009298: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied: B3.6 Date: 08/31/2012 Location(s): Massachusetts Offices(s): National Energy Technology Laboratory

  9. CX-012154: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    System-Cost Optimized Smart EVSE for Residential Application (New Tasks 101 and 102) CX(s) Applied: A1, A9, A11 Date: 05/12/2014 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  10. CX-010541: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimization Project Area #2 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 06/28/2013 Location(s): Wyoming Offices(s): RMOTC

  11. CX-007695: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Sandia National Laboratories - Improved Power System Operations Using Advanced Stochastic Optimization CX(s) Applied: A9 Date: 11/18/2011 Location(s): New Mexico, Iowa, Massachusetts, Washington, California Offices(s): Advanced Research Projects Agency-Energy

  12. CX-010687: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimization Project Area #1 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s): RMOTC

  13. CX-011068: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Additive Topology Optimized Manufacturing with Embedded Sensing CX(s) Applied: B3.6 Date: 08/29/2013 Location(s): Connecticut Offices(s): National Energy Technology Laboratory

  14. CX-010458: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multi-Objective Optimal Sensor Placement Under Uncertainty for Advanced Power Systems CX(s) Applied: A9 Date: 06/12/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  15. CX-012678: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimizing Polymer–Grafted Amidoxime-based Adsorbents for Uranium Uptake from Seawater - Georgia Institute of Technology CX(s) Applied: B3.6Date: 41863 Location(s): GeorgiaOffices(s): Nuclear Energy

  16. CX-008611: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Oneida Nation Energy Optimization Model Development Project CX(s) Applied: B3.6, B3.8 Date: 07/17/2012 Location(s): Wisconsin Offices(s): Golden Field Office

  17. CX-008905: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Optimizing Accuracy of Determinations of Carbon Dioxide Storage Capacity and Permanence CX(s) Applied: A1, A9, B3.6 Date: 08/29/2012 Location(s): Wyoming Offices(s): National Energy Technology Laboratory

  18. CX-009311: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Optimization of Reservoir Storage Capacity in Different Depositional Environments (Champaign) CX(s) Applied: A9 Date: 08/30/2012 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  19. CX-007920: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    System-Cost-Optimized Smart Electric Vehicle Supply Equipment for Residential Application CX(s) Applied: B3.6 Date: 02/24/2012 Location(s): Idaho, Illinois Offices(s): National Energy Technology Laboratory

  20. CX-008488: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimizing and Quantifying Carbon Dioxide Storage Capacity/Resource in Saline Formations and Hydrocarbon Reservoir CX(s) Applied: A9 Date: 07/25/2012 Location(s): North Dakota Offices(s): National Energy Technology Laboratory

  1. CX-010216: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Design and Optimization of a Biochemical Production Platform with Biosensor-guided Synthetic Evolution CX(s) Applied: A9, B3.6 Date: 02/28/2013 Location(s): California Offices(s): Golden Field Office

  2. CX-009310: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Optimization of Reservoir Storage Capacity in Different Depositional Environments (Rock Sampling) CX(s) Applied: B3.1 Date: 08/30/2012 Location(s): Multiple Offices(s): National Energy Technology Laboratory

  3. CX-007406: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shallow Water Offshore Wind System Optimization for the Great Lakes CX(s) Applied: A9 Date: 12/20/2011 Location(s): Ohio Offices(s): Golden Field Office

  4. CX-009426: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    California State Los Angeles University Auxiliary Services Hydrogen Refueling Facility Performance Evaluation and Optimization CX(s) Applied: A9, B5.22 Date: 10/24/2012 Location(s): California Offices(s): Golden Field Office

  5. CX-100053: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Distribution grid analytic platform for automated DG interconnection analysis and grid optimization Award Number: DE-EE0006688 CX(s) Applied: A9 Date: 09/11/2014 Location(s): Multiple Office(s): Golden Field Office

  6. CX-012111: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Thermochemical Storage with Anhydrous Ammonia: Optimizing the Synthesis Reactor for Direct Production of Supercritical Steam CX(s) Applied: A9 Date: 05/06/2014 Location(s): California Offices(s): Golden Field Office

  7. CX-010688: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimization Project #3 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s): RMOTC

  8. CX-007964: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Titanates for Optimized Performance in Separations Science, Innovative Medical Applications and Photochemistry CX(s) Applied: B3.6 Date: 02/08/2012 Location(s): South Carolina Offices(s): Savannah River Operations Office

  9. Applied Energy Programs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Applied Energy Programs Applied Energy Programs Los Alamos is using its world-class scientific capabilities to enhance national energy security by developing energy sources with limited environmental impact and by improving the efficiency and reliability of the energy infrastructure. CONTACT US Program Director Melissa Fox (505) 665-0896 Email Applied Energy Program Office serves as the hub connecting the Laboratory's scientific and technical resources to DOE sponsors, DoD programs, and to

  10. Applied & Computational Math

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    & Computational Math - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us ... Twitter Google + Vimeo GovDelivery SlideShare Applied & Computational Math HomeEnergy ...

  11. Applied Math & Software

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Math & Software - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us ... Twitter Google + Vimeo GovDelivery SlideShare Applied Math & Software HomeTransportation ...

  12. Optimal Electric Utility Expansion

    Energy Science and Technology Software Center (OSTI)

    1989-10-10

    SAGE-WASP is designed to find the optimal generation expansion policy for an electrical utility system. New units can be automatically selected from a user-supplied list of expansion candidates which can include hydroelectric and pumped storage projects. The existing system is modeled. The calculational procedure takes into account user restrictions to limit generation configurations to an area of economic interest. The optimization program reports whether the restrictions acted as a constraint on the solution. All expansionmore » configurations considered are required to pass a user supplied reliability criterion. The discount rate and escalation rate are treated separately for each expansion candidate and for each fuel type. All expenditures are separated into local and foreign accounts, and a weighting factor can be applied to foreign expenditures.« less

  13. How To Apply

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    How To Apply How to Apply for Computer System, Cluster, and Networking Summer Institute Emphasizes practical skills development Contacts Program Lead Carolyn Connor (505) 665-9891 Email Professional Staff Assistant Nickole Aguilar Garcia (505) 665-3048 Email The 2016 application process will commence January 5 through February 13, 2016. Applicants must be U.S. citizens. Required Materials Current resume Official university transcript (with Spring courses posted and/or a copy of Spring 2016

  14. [SIAM conference on optimization

    SciTech Connect (OSTI)

    Not Available

    1992-05-10

    Abstracts are presented of 63 papers on the following topics: large-scale optimization, interior-point methods, algorithms for optimization, problems in control, network optimization methods, and parallel algorithms for optimization problems.

  15. Apply for Beamtime

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Apply for Beamtime Apply for Beamtime Print Friday, 28 August 2009 13:23 Available Beamlines Determine which ALS beamlines are suitable for your experiment. To do this, you can review the ALS Beamlines Directory, contact the appropriate beamline scientist listed on the Directory, and/or contact the This e-mail address is being protected from spambots. You need JavaScript enabled to view it . Log In to the ALSHub user portal ALSHub Login For More Information About the Types of Proposals To learn

  16. BWR Assembly Optimization for Minor Actinide Recycling

    SciTech Connect (OSTI)

    G. Ivan Maldonado; John M. Christenson; J.P. Renier; T.F. Marcille; J. Casal

    2010-03-22

    The Primary objective of the proposed project is to apply and extend the latest advancements in LWR fuel management optimization to the design of advanced boiling water reactor (BWR) fuel assemblies specifically for the recycling of minor actinides (MAs).

  17. Performing aggressive code optimization with an ability to rollback...

    Office of Scientific and Technical Information (OSTI)

    code version in which the unsafe optimization is not applied. The compiler stores both versions and provides them for execution. Mechanisms are provided for switching ...

  18. Information Science, Computing, Applied Math

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Capabilities Information Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security ...

  19. Apply for Technical Assistance

    Office of Environmental Management (EM)

    Apply for Technical Assistance Use this online form to request technical assistance from the DOE Offce of Indian Energy for planning and implementing energy projects on tribal lands. To help us determine whether your request fts within the program's scope and can be addressed with available resources, please provide the information below and then click on "Submit Request." Only requests from federally recognized Indian Tribes, bands, nations, tribal energy resource develop- ment

  20. Applied Computer Science

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ADTSC » CCS » CCS-7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable scientific simulations at extreme scale Leadership Group Leader Linn Collins Email Deputy Group Leader (Acting) Bryan Lally Email Climate modeling visualization Results from a climate simulation computed using the Model for Prediction Across Scales (MPAS) code. This visualization shows the temperature of ocean currents using a green and blue color scale. These

  1. Applied Modern Physics

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Applied Modern Physics From the first bionic eye to airport scanners that detect liquid explosives, our expertise in developing advanced diagnostics results in real-world innovations. Contact Us Group Leader (acting) Larry Schultz Email Deputy Group Leader John George Email Group Office (505) 665-2545 QkarD Quantum key distribution technology could ensure truly secure commerce, banking, communications and data transfer. Read more... A history of excellence in the development and use of

  2. Apply for Beamtime

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Apply for Beamtime Print Available Beamlines Determine which ALS beamlines are suitable for your experiment. To do this, you can review the ALS Beamlines Directory, contact the appropriate beamline scientist listed on the Directory, and/or contact the This e-mail address is being protected from spambots. You need JavaScript enabled to view it . Log In to the ALSHub user portal ALSHub Login For More Information About the Types of Proposals To learn more about the three different types of

  3. Apply for Beamtime

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Apply for Beamtime Print Available Beamlines Determine which ALS beamlines are suitable for your experiment. To do this, you can review the ALS Beamlines Directory, contact the appropriate beamline scientist listed on the Directory, and/or contact the This e-mail address is being protected from spambots. You need JavaScript enabled to view it . Log In to the ALSHub user portal ALSHub Login For More Information About the Types of Proposals To learn more about the three different types of

  4. Performance and Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Performance and Optimization Performance and Optimization Benchmarking Software on Hopper and Carver PURPOSE Test the performance impact of multithreading with representative...

  5. Performance and Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimization Performance and Optimization Running Jobs Efficiently This page defines job efficiency and how to measure the efficiency of your jobs. Read More PDSF IO Monitoring...

  6. Optimal segmentation and packaging process

    DOE Patents [OSTI]

    Kostelnik, Kevin M. (Idaho Falls, ID); Meservey, Richard H. (Idaho Falls, ID); Landon, Mark D. (Idaho Falls, ID)

    1999-01-01

    A process for improving packaging efficiency uses three dimensional, computer simulated models with various optimization algorithms to determine the optimal segmentation process and packaging configurations based on constraints including container limitations. The present invention is applied to a process for decontaminating, decommissioning (D&D), and remediating a nuclear facility involving the segmentation and packaging of contaminated items in waste containers in order to minimize the number of cuts, maximize packaging density, and reduce worker radiation exposure. A three-dimensional, computer simulated, facility model of the contaminated items are created. The contaminated items are differentiated. The optimal location, orientation and sequence of the segmentation and packaging of the contaminated items is determined using the simulated model, the algorithms, and various constraints including container limitations. The cut locations and orientations are transposed to the simulated model. The contaminated items are actually segmented and packaged. The segmentation and packaging may be simulated beforehand. In addition, the contaminated items may be cataloged and recorded.

  7. ORISE: Applied health physics projects

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Applied health physics projects The Oak Ridge Institute for Science and Education (ORISE) provides applied health physics services to government agencies needing technical support ...

  8. Applied Optoelectronics | Open Energy Information

    Open Energy Info (EERE)

    optical semiconductor devices, packaged optical components, optical subsystems, laser transmitters, and fiber optic transceivers. References: Applied Optoelectronics1...

  9. E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Engine through Boosting, Spray Optimized GDi, VCR and Variable Valvetrain E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR and Variable Valvetrain 2009 DOE Hydrogen ...

  10. Integrated controls design optimization

    DOE Patents [OSTI]

    Lou, Xinsheng; Neuschaefer, Carl H.

    2015-09-01

    A control system (207) for optimizing a chemical looping process of a power plant includes an optimizer (420), an income algorithm (230) and a cost algorithm (225) and a chemical looping process models. The process models are used to predict the process outputs from process input variables. Some of the process in puts and output variables are related to the income of the plant; and some others are related to the cost of the plant operations. The income algorithm (230) provides an income input to the optimizer (420) based on a plurality of input parameters (215) of the power plant. The cost algorithm (225) provides a cost input to the optimizer (420) based on a plurality of output parameters (220) of the power plant. The optimizer (420) determines an optimized operating parameter solution based on at least one of the income input and the cost input, and supplies the optimized operating parameter solution to the power plant.

  11. Apply

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Unofficial transcripts are acceptable. If transcripts are not in English, provide a translation. If grades are not in the U.S.-traditional lettered (A,B,C), or GPA (out of 4.0)...

  12. Applied Materials | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name: Applied Materials Address: 3050 Bowers Avenue Place: Santa Clara, California Zip: 95054 Sector: Solar Website: www.appliedmaterials.com...

  13. Energy optimization system

    DOE Patents [OSTI]

    Zhou, Zhi; de Bedout, Juan Manuel; Kern, John Michael; Biyik, Emrah; Chandra, Ramu Sharat

    2013-01-22

    A system for optimizing customer utility usage in a utility network of customer sites, each having one or more utility devices, where customer site is communicated between each of the customer sites and an optimization server having software for optimizing customer utility usage over one or more networks, including private and public networks. A customer site model for each of the customer sites is generated based upon the customer site information, and the customer utility usage is optimized based upon the customer site information and the customer site model. The optimization server can be hosted by an external source or within the customer site. In addition, the optimization processing can be partitioned between the customer site and an external source.

  14. NETL: Gasifier Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    gasifier optimization The Gasifier Optimization and Plant Supporting Systems key technology area focuses on improving the performance and reducing the costs of advanced gasifiers. Specifically, current projects focus on creating models to better understand the kinetics and particulate behavior of fuel inside a gasifier. This work supports development of a highly advanced gasifier optimally configured with its supporting systems, which would incorporate the most aggressive and successful

  15. Falcon: automated optimization method for arbitrary assessment criteria

    DOE Patents [OSTI]

    Yang, Tser-Yuan (Livermore, CA); Moses, Edward I. (Livermore, CA); Hartmann-Siantar, Christine (Livermore, CA)

    2001-01-01

    FALCON is a method for automatic multivariable optimization for arbitrary assessment criteria that can be applied to numerous fields where outcome simulation is combined with optimization and assessment criteria. A specific implementation of FALCON is for automatic radiation therapy treatment planning. In this application, FALCON implements dose calculations into the planning process and optimizes available beam delivery modifier parameters to determine the treatment plan that best meets clinical decision-making criteria. FALCON is described in the context of the optimization of external-beam radiation therapy and intensity modulated radiation therapy (IMRT), but the concepts could also be applied to internal (brachytherapy) radiotherapy. The radiation beams could consist of photons or any charged or uncharged particles. The concept of optimizing source distributions can be applied to complex radiography (e.g. flash x-ray or proton) to improve the imaging capabilities of facilities proposed for science-based stockpile stewardship.

  16. Optimal segmentation and packaging process

    DOE Patents [OSTI]

    Kostelnik, K.M.; Meservey, R.H.; Landon, M.D.

    1999-08-10

    A process for improving packaging efficiency uses three dimensional, computer simulated models with various optimization algorithms to determine the optimal segmentation process and packaging configurations based on constraints including container limitations. The present invention is applied to a process for decontaminating, decommissioning (D and D), and remediating a nuclear facility involving the segmentation and packaging of contaminated items in waste containers in order to minimize the number of cuts, maximize packaging density, and reduce worker radiation exposure. A three-dimensional, computer simulated, facility model of the contaminated items are created. The contaminated items are differentiated. The optimal location, orientation and sequence of the segmentation and packaging of the contaminated items is determined using the simulated model, the algorithms, and various constraints including container limitations. The cut locations and orientations are transposed to the simulated model. The contaminated items are actually segmented and packaged. The segmentation and packaging may be simulated beforehand. In addition, the contaminated items may be cataloged and recorded. 3 figs.

  17. Hopper Performance and Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Performance and Optimization Compiler Comparisons Comparison of different compilers with different options on several benchmarks. Read More Using OpenMP Effectively...

  18. Control and optimization system

    DOE Patents [OSTI]

    Xinsheng, Lou

    2013-02-12

    A system for optimizing a power plant includes a chemical loop having an input for receiving an input parameter (270) and an output for outputting an output parameter (280), a control system operably connected to the chemical loop and having a multiple controller part (230) comprising a model-free controller. The control system receives the output parameter (280), optimizes the input parameter (270) based on the received output parameter (280), and outputs an optimized input parameter (270) to the input of the chemical loop to control a process of the chemical loop in an optimized manner.

  19. Sandia Energy - Current Energy Converter Array Optimization Framework

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The CEC array optimization framework was applied to Cobscook Bay, Maine, the first deployment site of the Ocean Renewable Power Company's (ORPC) TidGen(tm) CEC device. The...

  20. A Method for Determining Optimal Residential Energy Efficiency Packages

    SciTech Connect (OSTI)

    Polly, B.; Gestwick, M.; Bianchi, M.; Anderson, R.; Horowitz, S.; Christensen, C.; Judkoff, R.

    2011-04-01

    This report describes an analysis method for determining optimal residential energy efficiency retrofit packages and, as an illustrative example, applies the analysis method to a 1960s-era home in eight U.S. cities covering a range of International Energy Conservation Code (IECC) climate regions. The method uses an optimization scheme that considers average energy use (determined from building energy simulations) and equivalent annual cost to recommend optimal retrofit packages specific to the building, occupants, and location.

  1. Applied Sedimentology | Open Energy Information

    Open Energy Info (EERE)

    Sedimentology Jump to: navigation, search OpenEI Reference LibraryAdd to library Book: Applied Sedimentology Author R.C. Salley Published Academic Press, 2000 DOI Not Provided...

  2. ORISE: Applied health physics projects

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Applied health physics projects The Oak Ridge Institute for Science and Education (ORISE) provides applied health physics services to government agencies needing technical support for decommissioning projects. Whether the need is assistance with the development of technical basis documents or advice on how to identify, measure and assess the presence of radiological materials, ORISE can help determine the best course for an environmental cleanup project. Our key areas of expertise include fuel

  3. Information Science, Computing, Applied Math

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Capabilities » Information Science, Computing, Applied Math /science-innovation/_assets/images/icon-science.jpg Information Science, Computing, Applied Math National security depends on science and technology. The United States relies on Los Alamos National Laboratory for the best of both. No place on Earth pursues a broader array of world-class scientific endeavors. Computer, Computational, and Statistical Sciences (CCS)» High Performance Computing (HPC)» Extreme Scale Computing, Co-design»

  4. Rapid Optimization Library

    Energy Science and Technology Software Center (OSTI)

    2014-05-13

    ROL provides interfaces to and implementations of algorithms for gradient-based unconstrained and constrained optimization. ROL can be used to optimize the response of any client simulation code that evaluates scalar-valued response functions. If the client code can provide gradient information for the response function, ROL will take advantage of it, resulting in faster runtimes. ROL's interfaces are matrix-free, in other words ROL only uses evaluations of scalar-valued and vector-valued functions. ROL can be used tomore » solve optimal design problems and inverse problems based on a variety of simulation software.« less

  5. TOOLKIT FOR ADVANCED OPTIMIZATION

    Energy Science and Technology Software Center (OSTI)

    2000-10-13

    The TAO project focuses on the development of software for large scale optimization problems. TAO uses an object-oriented design to create a flexible toolkit with strong emphasis on the reuse of external tools where appropriate. Our design enables bi-directional connection to lower level linear algebra support (for example, parallel sparse matrix data structures) as well as higher level application frameworks. The Toolkist for Advanced Optimization (TAO) is aimed at teh solution of large-scale optimization problemsmore » on high-performance architectures. Our main goals are portability, performance, scalable parallelism, and an interface independent of the architecture. TAO is suitable for both single-processor and massively-parallel architectures. The current version of TAO has algorithms for unconstrained and bound-constrained optimization.« less

  6. Library for Nonlinear Optimization

    Energy Science and Technology Software Center (OSTI)

    2001-10-09

    OPT++ is a C++ object-oriented library for nonlinear optimization. This incorporates an improved implementation of an existing capability and two new algorithmic capabilities based on existing journal articles and freely available software.

  7. Performance and Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimization Performance and Optimization Compiler Comparisons Comparison of different compilers with different options on several benchmarks. Read More » Using OpenMP Effectively Performance implications and case studies of codes combining MPI and OpenMP Read More » Reordering MPI Ranks Reordering MPI ranks can result in improved application performance depending on the communication patterns of the application. Read More » Application Performance Variability on Hopper How an application is

  8. Lattice Boltzmann Simulation Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Boltzmann Simulation Optimization on Leading Multicore Platforms Selected as Best Paper in Application Track, IPDPS 2008, April 14-28, Miami, Florida, USA Samuel Williams † , Jonathan Carter , Leonid Oliker John Shalf , Katherine Yelick † CRD/NERSC, Lawrence Berkeley National Laboratory Berkeley, CA 94720 † CS Division, University of California at Berkeley, Berkeley, CA 94720 {SWWilliams, JTCarter, LOliker, JShalf, KAYelick}@lbl.gov Abstract We present an auto-tuning approach to optimize

  9. Air Transport Optimization Model | NISAC

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NISACAir Transport Optimization Model content top Network Optimization Models (RNAS and ATOM) Posted by Admin on Mar 1, 2012 in | Comments 0 comments Many critical infrastructures...

  10. Summer of Applied Geophysical Experience

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Summer of Applied Geophysical Experience (SAGE) 2016 - Our 34 rd Year! SAGE is a 3-4 week research and education program in exploration geophysics for graduate, undergraduate students, and working professionals based in Santa Fe, NM, U.S.A. Application deadline March 27, 2016, 5:00pm MDT SAGE students, faculty, teaching assistants, and visiting scientists acquire, process and interpret reflection/refraction seismic, magnetotelluric (MT)/electromagnetic (EM), ground penetrating radar (GPR),

  11. Generic Optimization Program

    Energy Science and Technology Software Center (OSTI)

    1998-07-01

    GenOpt is a generic optimization program for nonlinear, constrained optimization. For evaluating the objective function, any simulation program that communicates over text files can be coupled to GenOpt without code modification. No analytic properties of the objective function are used by GenOpt. ptimization algorithms and numerical methods can be implemented in a library and shared among users. Gencpt offers an interlace between the optimization algorithm and its kernel to make the implementation of new algorithmsmore »fast and easy. Different algorithms of constrained and unconstrained minimization can be added to a library. Algorithms for approximation derivatives and performing line-search will be implemented. The objective function is evaluated as a black-box function by an external simulation program. The kernel of GenOpt deals with the data I/O, result sotrage and report, interlace to the external simulation program, and error handling. An abstract optimization class offers methods to interface the GenOpt kernel and the optimization algorithm library.« less

  12. INJECTION PAINTING OPTIMIZATION WITH FUZZY LOGIC EXPERT SYSTEM.

    SciTech Connect (OSTI)

    BEEBE-WANG,J.; TANG,J.

    2001-06-18

    Optimizing transverse particle distributions in the accumulator ring is one of most important factors to the future performance of the Spallation Neutron Source (SNS) [l]. This can only be achieved by optimizing the injection bumps that paint the beam in phase space. The process is complex due to the vague distribution inputs and the multiple optimization goals. Furthermore, the priority of the optimization criteria could change at different operational stages. We propose optimizing transverse phase space painting with fuzzy logic and present our initial studies toward that end. The focus of this paper is on how the problem can be solved with a Fuzzy Logic (FL) expert system through the creation of a set of rules that can be applied by the system. Various particle distributions, from computer simulations, are analyzed with FL and the results are compared and discussed. Finally, a run-time optimization control system is proposed.

  13. Reverse Osmosis Optimization

    SciTech Connect (OSTI)

    McMordie Stoughton, Kate; Duan, Xiaoli; Wendel, Emily M.

    2013-08-26

    This technology evaluation was prepared by Pacific Northwest National Laboratory on behalf of the U.S. Department of Energy’s Federal Energy Management Program (FEMP). ¬The technology evaluation assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. This evaluation provides a general description of RO systems, the influence of RO systems on water use, and key areas where RO systems can be optimized to reduce water and energy consumption. The evaluation is intended to help facility managers at Federal sites understand the basic concepts of the RO process and system optimization options, enabling them to make informed decisions during the system design process for either new projects or recommissioning of existing equipment. This evaluation is focused on commercial-sized RO systems generally treating more than 80 gallons per hour.¬

  14. Reverse Osmosis Optimization

    SciTech Connect (OSTI)

    2013-08-01

    This technology evaluation was prepared by Pacific Northwest National Laboratory on behalf of the U.S. Department of Energy’s Federal Energy Management Program (FEMP). The technology evaluation assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. This evaluation provides a general description of RO systems, the influence of RO systems on water use, and key areas where RO systems can be optimized to reduce water and energy consumption. The evaluation is intended to help facility managers at Federal sites understand the basic concepts of the RO process and system optimization options, enabling them to make informed decisions during the system design process for either new projects or recommissioning of existing equipment. This evaluation is focused on commercial-sized RO systems generally treating more than 80 gallons per hour.

  15. Fuzzy logic controller optimization

    DOE Patents [OSTI]

    Sepe, Jr., Raymond B; Miller, John Michael

    2004-03-23

    A method is provided for optimizing a rotating induction machine system fuzzy logic controller. The fuzzy logic controller has at least one input and at least one output. Each input accepts a machine system operating parameter. Each output produces at least one machine system control parameter. The fuzzy logic controller generates each output based on at least one input and on fuzzy logic decision parameters. Optimization begins by obtaining a set of data relating each control parameter to at least one operating parameter for each machine operating region. A model is constructed for each machine operating region based on the machine operating region data obtained. The fuzzy logic controller is simulated with at least one created model in a feedback loop from a fuzzy logic output to a fuzzy logic input. Fuzzy logic decision parameters are optimized based on the simulation.

  16. Distributed Optimization System

    DOE Patents [OSTI]

    Hurtado, John E. (Albuquerque, NM); Dohrmann, Clark R. (Albuquerque, NM); Robinett, III, Rush D. (Tijeras, NM)

    2004-11-30

    A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.

  17. International combustion engines; Applied thermosciences

    SciTech Connect (OSTI)

    Ferguson, C.R.

    1985-01-01

    Focusing on thermodynamic analysis - from the requisite first law to more sophisticated applications - and engine design, this book is an introduction to internal combustion engines and their mechanics. It covers the many types of internal combustion engines, including spark ignition, compression ignition, and stratified charge engines, and examines processes, keeping equations of state simple by assuming constant specific heats. Equations are limited to heat engines and later applied to combustion engines. Topics include realistic equations of state, stroichiometry, predictions of chemical equilibrium, engine performance criteria, and friction, which is discussed in terms of the hydrodynamic theory of lubrication and experimental methods such as dimensional analysis.

  18. Applied Materials Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Wind Turbine Jump to: navigation, search Name Applied Materials Wind Turbine Facility Applied Materials Sector Wind energy Facility Type Community Wind Facility Status In Service...

  19. Building America Expert Meeting: Recommendations for Applying...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems Building America Expert Meeting: Recommendations for Applying Water Heaters in ...

  20. Applied Ventures LLC | Open Energy Information

    Open Energy Info (EERE)

    Applied Ventures LLC Name: Applied Ventures LLC Address: 3050 Bowers Avenue Place: Santa Clara, California Zip: 95054 Region: Southern CA Area Product: Venture capital. Number...

  1. Applied Intellectual Capital AIC | Open Energy Information

    Open Energy Info (EERE)

    Intellectual Capital AIC Jump to: navigation, search Name: Applied Intellectual Capital (AIC) Place: California Zip: 94501-1010 Product: Applied Intellectual Capital (AIC) was...

  2. Genetic Algorithm Based Neural Networks for Nonlinear Optimization

    Energy Science and Technology Software Center (OSTI)

    1994-09-28

    This software develops a novel approach to nonlinear optimization using genetic algorithm based neural networks. To our best knowledge, this approach represents the first attempt at applying both neural network and genetic algorithm techniques to solve a nonlinear optimization problem. The approach constructs a neural network structure and an appropriately shaped energy surface whose minima correspond to optimal solutions of the problem. A genetic algorithm is employed to perform a parallel and powerful search ofmore » the energy surface.« less

  3. Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies

    Broader source: Energy.gov [DOE]

    2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  4. Categorical Exclusion Determinations: RMOTC | Department of Energy

    Office of Environmental Management (EM)

    RMOTC Categorical Exclusion Determinations: RMOTC Categorical Exclusion Determinations issued by RMOTC. DOCUMENTS AVAILABLE FOR DOWNLOAD December 30, 2013 CX-011724: Categorical Exclusion Determination Repair Corroded Flow Line Near 33-SX-11 CX(s) Applied: B5.4, B5.6 Date: 12/30/2013 Location(s): Wyoming Offices(s): RMOTC July 26, 2013 CX-010688: Categorical Exclusion Determination Optimization Project #3 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s):

  5. Jack Deslippe Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimization Strategies for Cori NERSC User Services Wednesday Feb 25, 2015 Introduction to Cori What is different about Cori? What is different about Cori? Edison (Ivy-Bridge): â—Ź 12 Cores Per CPU â—Ź 24 Virtual Cores Per CPU â—Ź 2.4-3.2 GHz â—Ź Can do 4 Double Precision Operations per Cycle (+ multiply/add) â—Ź 2.5 GB of Memory Per Core â—Ź ~100 GB/s Memory Bandwidth Cori (Knights-Landing): â—Ź 60+ Physical Cores Per CPU â—Ź 240+ Virtual Cores Per CPU â—Ź Much slower GHz â—Ź Can do 8 Double

  6. CX-100191 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cost-Optimized Modular Helical Rotors Turbine-Generator System for Small Hydro Power Plants Award Number: DE-EE0006927 CX(s) Applied: A9, B3.6 Water Power Program Date: 03/04/2015 Location(s): WI Office(s): Golden Field Office

  7. CX-010555: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    United Technologies Research Center- Additive Manufacturing of Optimized Ultra-High Efficiency Electric Machines CX(s) Applied: B3.6 Date: 02/08/2013 Location(s): Connecticut, Pennsylvania, Michigan Offices(s): Advanced Research Projects Agency-Energy

  8. CX-100580 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Next Generation MHK River Power System Optimized for Performance, Durability and Survivability Award Number: DE-EE0007348 CX(s) Applied: A9 Water Power Program br> Date: 03/14/2016 Location(s): AK Office(s): Golden Field Office

  9. CX-009186: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    (0675-1570) Washington University in St. Louis - Optimal Operation and Management of Energy Storage Systems Based on Real-Time Predictive Modeling and Adaptive Battery Management Techniques CX(s) Applied: B3.6 Date: 09/07/2012 Location(s): Missouri, Colorado Offices(s): Advanced Research Projects Agency-Energy

  10. CX-010931: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Commercial Scale Carbon Dioxide (CO2) Injection and Optimization of Storage Capacity in the Southeastern United States CX(s) Applied: A9, B3.6 Date: 09/20/2013 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  11. CX-007919: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    System-Cost-Optimized Smart Electric Vehicle Supply Equipment for Residential Application CX(s) Applied: A11, B3.6, B5.1 Date: 02/24/2012 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  12. CX-009855: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Development of Geographical Information System-Based Tool for Optimized Fluid Management in Shale Gas Operations CX(s) Applied: A9, A11, B3.6 Date: 01/18/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  13. CX-100376 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimize Multifunctional Catalysts For Efficiently Converting Lignocellulosic Biomass to Advanced Biofuels Award Number: DE-FC36-08GO88073 CX(s) Applied: A9, B3.6 Bioenergy Technologies Office Date: 09/18/2015 Location(s): South Dakota Office(s): Golden Field Office

  14. CX-009020: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimizing the Concentrated Solar Power Tower Air Brayton Cycle System to meet the SunShot Objectives CX(s) Applied: A9, B3.6 Date: 08/21/2012 Location(s): Texas Offices(s): Golden Field Office

  15. CX-009021: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    "Development of a High Efficiency Hot Gas Turbo-Expander and Low Cost Heat Exchangers for Optimized Concentrated Solar Power Supercritical C02 Operation CX(s) Applied: A9, B3.6 Date: 08/21/2012 Location(s): Texas Offices(s): Golden Field Office"

  16. CX-009906: Categorical Exclusion Determinatio

    Office of Energy Efficiency and Renewable Energy (EERE)

    Optimized Co-Processing of Algal Bio-Crude through a Petroleum Refinery CX(s) Applied: A9, B3.6, B5.15 Date: 01/15/2013 Location(s): California, New Mexico Offices(s): Golden Field Office

  17. CX-100438 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Thermochemical Storage with Anhydrous Ammonia: Optimizing the Synthesis Reactor for Direct Production of Supercritical Steam Award Number: DE-EE0006536 CX(s) Applied: B3.6 Solar Energy Technology Office Date: 12/22/15 Location(s): CA Office(s): Golden Field Office

  18. CX-100293 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimized Comfort Systems for Low Load Homes Award Number: DE-EE0007058 CX(s) Applied: A9, A11, B3.1 Building Technologies Office Date: 06/22/2015 Location(s): PA Office(s): Golden Field Office

  19. CX-100074: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Integrated platform for optimized solar PV system design and engineering plan-set generation Award Number: DE-EE0006680 CX(s) Applied: A9 Solar Energy Technologies Date: 09/17/2014 Location(s): California Office(s): Golden Field Office

  20. CX-100448 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimized Composite Prototype for Archimedes Turbine Manufacture Award Number: DE-EE0007427 CX(s) Applied: A9, B3.6 Water Power Technologies Office Date: 01/12/2016 Location(s): IN Office(s): Golden Field Office

  1. CX-010563: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pacific Northwest National Laboratory- Non-Wire Methods for Transmission Congestion Management Through Predictive Simulation and Optimization CX(s) Applied: B3.6 Date: 01/03/2013 Location(s): Washington, North Carolina, Illinois, Oregon Offices(s): Advanced Research Projects Agency-Energy

  2. E85 Optimized Engine

    SciTech Connect (OSTI)

    Stanley Bower

    2011-12-31

    A 5.0L V8 twin-turbocharged direct injection engine was designed, built, and tested for the purpose of assessing the fuel economy and performance in the F-Series pickup of the Dual Fuel engine concept and of an E85 optimized FFV engine. Additionally, production 3.5L gasoline turbocharged direct injection (GTDI) â??EcoBoostâ?ť engines were converted to Dual Fuel capability and used to evaluate the cold start emissions and fuel system robustness of the Dual Fuel engine concept. Project objectives were: to develop a roadmap to demonstrate a minimized fuel economy penalty for an F-Series FFV truck with a highly boosted, high compression ratio spark ignition engine optimized to run with ethanol fuel blends up to E85; to reduce FTP 75 energy consumption by 15% - 20% compared to an equally powered vehicle with a current production gasoline engine; and to meet ULEV emissions, with a stretch target of ULEV II / Tier II Bin 4. All project objectives were met or exceeded.

  3. Multicriteria optimization of the spatial dose distribution

    SciTech Connect (OSTI)

    Schlaefer, Alexander; Viulet, Tiberiu; Muacevic, Alexander; Fürweger, Christoph

    2013-12-15

    Purpose: Treatment planning for radiation therapy involves trade-offs with respect to different clinical goals. Typically, the dose distribution is evaluated based on few statistics and dose–volume histograms. Particularly for stereotactic treatments, the spatial dose distribution represents further criteria, e.g., when considering the gradient between subregions of volumes of interest. The authors have studied how to consider the spatial dose distribution using a multicriteria optimization approach.Methods: The authors have extended a stepwise multicriteria optimization approach to include criteria with respect to the local dose distribution. Based on a three-dimensional visualization of the dose the authors use a software tool allowing interaction with the dose distribution to map objectives with respect to its shape to a constrained optimization problem. Similarly, conflicting criteria are highlighted and the planner decides if and where to relax the shape of the dose distribution.Results: To demonstrate the potential of spatial multicriteria optimization, the tool was applied to a prostate and meningioma case. For the prostate case, local sparing of the rectal wall and shaping of a boost volume are achieved through local relaxations and while maintaining the remaining dose distribution. For the meningioma, target coverage is improved by compromising low dose conformality toward noncritical structures. A comparison of dose–volume histograms illustrates the importance of spatial information for achieving the trade-offs.Conclusions: The results show that it is possible to consider the location of conflicting criteria during treatment planning. Particularly, it is possible to conserve already achieved goals with respect to the dose distribution, to visualize potential trade-offs, and to relax constraints locally. Hence, the proposed approach facilitates a systematic exploration of the optimal shape of the dose distribution.

  4. Nonlinear simulations to optimize magnetic nanoparticle hyperthermia

    SciTech Connect (OSTI)

    Reeves, Daniel B. Weaver, John B.

    2014-03-10

    Magnetic nanoparticle hyperthermia is an attractive emerging cancer treatment, but the acting microscopic energy deposition mechanisms are not well understood and optimization suffers. We describe several approximate forms for the characteristic time of Néel rotations with varying properties and external influences. We then present stochastic simulations that show agreement between the approximate expressions and the micromagnetic model. The simulations show nonlinear imaginary responses and associated relaxational hysteresis due to the field and frequency dependencies of the magnetization. This suggests that efficient heating is possible by matching fields to particles instead of resorting to maximizing the power of the applied magnetic fields.

  5. Desalination Plant Optimization

    Energy Science and Technology Software Center (OSTI)

    1992-10-01

    MSF21 and VTE21 perform design and costing calculations for multistage flash evaporator (MSF) and multieffect vertical tube evaporator (VTE) desalination plants. An optimization capability is available, if desired. The MSF plant consists of a recovery section, reject section, brine heater, and associated buildings and equipment. Operating costs and direct and indirect capital costs for plant, buildings, site, and intakes are calculated. Computations are based on the first and last stages of each section and amore » typical middle recovery stage. As a result, the program runs rapidly but does not give stage by stage parameters. The VTE plant consists of vertical tube effects, multistage flash preheater, condenser, and brine heater and associated buildings and equipment. Design computations are done for each vertical tube effect, but preheater computations are based on the first and last stages and a typical middle stage.« less

  6. Optimized nanoporous materials.

    SciTech Connect (OSTI)

    Braun, Paul V.; Langham, Mary Elizabeth; Jacobs, Benjamin W.; Ong, Markus D.; Narayan, Roger J.; Pierson, Bonnie E.; Gittard, Shaun D.; Robinson, David B.; Ham, Sung-Kyoung; Chae, Weon-Sik; Gough, Dara V.; Wu, Chung-An Max; Ha, Cindy M.; Tran, Kim L.

    2009-09-01

    Nanoporous materials have maximum practical surface areas for electrical charge storage; every point in an electrode is within a few atoms of an interface at which charge can be stored. Metal-electrolyte interfaces make best use of surface area in porous materials. However, ion transport through long, narrow pores is slow. We seek to understand and optimize the tradeoff between capacity and transport. Modeling and measurements of nanoporous gold electrodes has allowed us to determine design principles, including the fact that these materials can deplete salt from the electrolyte, increasing resistance. We have developed fabrication techniques to demonstrate architectures inspired by these principles that may overcome identified obstacles. A key concept is that electrodes should be as close together as possible; this is likely to involve an interpenetrating pore structure. However, this may prove extremely challenging to fabricate at the finest scales; a hierarchically porous structure can be a worthy compromise.

  7. Apply for Beam Time | Advanced Photon Source

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    All About Proposals Users Home Apply for Beam Time Deadlines Proposal Types Concepts, Definitions, and Help My APS Portal My APS Portal Apply for Beam Time Next Proposal Deadline...

  8. How to Apply for the ENERGY STAR®

    Broader source: Energy.gov [DOE]

    Join us to learn about applying for ENERGY STAR Certification in Portfolio Manager. Understand the value of the ENERGY STAR certification, see the step-by-step process of applying, and gain tips to...

  9. Successful Selection of LED Streetlight Luminaires: Optimizing...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optimizing Illumination and Economic Performance Successful Selection of LED Streetlight Luminaires: Optimizing Illumination and Economic Performance This March 6, 2013 ...

  10. Sandia Energy - Optimizing Engines for Alternative Fuels

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimizing Engines for Alternative Fuels Home Energy Transportation Energy CRF Facilities News News & Events Research & Capabilities Sensors & Optical Diagnostics Optimizing...

  11. SCR Performance Optimization Through Advancements in Aftertreatment...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Performance Optimization Through Advancements in Aftertreatment Packaging SCR Performance Optimization Through Advancements in Aftertreatment Packaging The impact of improved urea...

  12. Optimization of Advanced Diesel Engine Combustion Strategies...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    More Documents & Publications Optimization of Advanced Diesel Engine Combustion Strategies Optimization of Advanced Diesel Engine Combustion Strategies Computational Fluid Dynamics ...

  13. Getting Started and Optimization Strategy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Getting Started and Optimization Strategy Getting Started and Optimization Strategy The purpose of this page is to get you started thinking about how to optimize your application for the Knights Landing (KNL) Architecture that will be on Cori. This page will walk you through the high level steps and give an example using a real application that runs at NERSC. How Does Cori Differ From Edison There are several important differences between the Cori (Knights-Landing) node architecture and the

  14. Hybrid Optimization Software Suite (HOSS)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Hybrid Optimization Software Suite (HOSS) Hybrid Optimization Software Suite (HOSS) LANS is currently seeking an industry partner(s) to assist with the commercial deployment of its Hybrid Optimization Software Suite (HOSS) technology portfolio. Submit your Commercialization Proposal on or before COB Wednesday, March 9, 2016. Submit your Proposal thumbnail of Kathleen McDonald Head of Intellectual Property, Business Development Executive Kathleen McDonald Richard P. Feynman Center for Innovation

  15. Theoretical evaluation of the optimal performance of a thermoacoustic refrigerator

    SciTech Connect (OSTI)

    Minner, B.L.; Braun, J.E.; Mongeau, L.G.

    1997-12-31

    Theoretical models were integrated with a design optimization tool to allow estimates of the maximum coefficient of performance for thermoacoustic cooling systems. The system model was validated using experimental results for a well-documented prototype. The optimization tool was then applied to this prototype to demonstrate the benefits of systematic optimization. A twofold increase in performance was predicted through the variation of component dimensions alone, while a threefold improvement was estimated when the working fluid parameters were also considered. Devices with a similar configuration were optimized for operating requirements representative of a home refrigerator. The results indicate that the coefficients of performance are comparable to those of existing vapor-compression equipment for this application. In addition to the choice of working fluid, the heat exchanger configuration was found to be a critical design factor affecting performance. Further experimental work is needed to confirm the theoretical predictions presented in this paper.

  16. Method for Determining Optimal Residential Energy Efficiency Retrofit Packages

    SciTech Connect (OSTI)

    Polly, B.; Gestwick, M.; Bianchi, M.; Anderson, R.; Horowitz, S.; Christensen, C.; Judkoff, R.

    2011-04-01

    Businesses, government agencies, consumers, policy makers, and utilities currently have limited access to occupant-, building-, and location-specific recommendations for optimal energy retrofit packages, as defined by estimated costs and energy savings. This report describes an analysis method for determining optimal residential energy efficiency retrofit packages and, as an illustrative example, applies the analysis method to a 1960s-era home in eight U.S. cities covering a range of International Energy Conservation Code (IECC) climate regions. The method uses an optimization scheme that considers average energy use (determined from building energy simulations) and equivalent annual cost to recommend optimal retrofit packages specific to the building, occupants, and location. Energy savings and incremental costs are calculated relative to a minimum upgrade reference scenario, which accounts for efficiency upgrades that would occur in the absence of a retrofit because of equipment wear-out and replacement with current minimum standards.

  17. Getting Started and Optimization Strategy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    list of differences is summarized in the table below: Key differences are highlighted in red. Optimization Areas There are three important areas of improvement to consider for...

  18. HMX Cooling Core Optimization Software

    Energy Science and Technology Software Center (OSTI)

    2006-08-31

    The Software consists of code which is used to determine the optimal configuration of an HMX cooling core in a heat exchanger.

  19. Utilizing object-oriented design to build advanced optimization strategies with generic implementation

    SciTech Connect (OSTI)

    Eldred, M.S.; Hart, W.E.; Bohnhoff, W.J.; Romero, V.J.; Hutchinson, S.A.; Salinger, A.G.

    1996-08-01

    the benefits of applying optimization to computational models are well known, but their range of widespread application to date has been limited. This effort attempts to extend the disciplinary areas to which optimization algorithms may be readily applied through the development and application of advanced optimization strategies capable of handling the computational difficulties associated with complex simulation codes. Towards this goal, a flexible software framework is under continued development for the application of optimization techniques to broad classes of engineering applications, including those with high computational expense and nonsmooth, nonconvex design space features. Object-oriented software design with C++ has been employed as a tool in providing a flexible, extensible, and robust multidisciplinary toolkit with computationally intensive simulations. In this paper, demonstrations of advanced optimization strategies using the software are presented in the hybridization and parallel processing research areas. Performance of the advanced strategies is compared with a benchmark nonlinear programming optimization.

  20. Well-temperate phage: Optimal bet-hedging against local environmental

    Office of Scientific and Technical Information (OSTI)

    collapses (Journal Article) | DOE PAGES DOE PAGES Search Results Accepted Manuscript: Well-temperate phage: Optimal bet-hedging against local environmental collapses Title: Well-temperate phage: Optimal bet-hedging against local environmental collapses Upon infection of their bacterial hosts temperate phages must chose between lysogenic and lytic developmental strategies. Here we apply the game-theoretic bet-hedging strategy introduced by Kelly to derive the optimal lysogenic fraction of the

  1. Well-temperate phage: Optimal bet-hedging against local environmental

    Office of Scientific and Technical Information (OSTI)

    collapses (Journal Article) | SciTech Connect Journal Article: Well-temperate phage: Optimal bet-hedging against local environmental collapses Citation Details In-Document Search Title: Well-temperate phage: Optimal bet-hedging against local environmental collapses Upon infection of their bacterial hosts temperate phages must chose between lysogenic and lytic developmental strategies. Here we apply the game-theoretic bet-hedging strategy introduced by Kelly to derive the optimal lysogenic

  2. Building Energy Optimization (BEopt) Software

    Broader source: Energy.gov [DOE]

    To help meet Building America's goal to develop market-ready energy solutions that improve efficiency of new and existing homes, the National Renewable Energy Laboratory (NREL) developed the Building Energy Optimization (BEopt) software tool. This specialized computer program is designed to identify optimally efficient designs for new and existing homes at the lowest possible cost.

  3. Optimized design for PIGMI

    SciTech Connect (OSTI)

    Hansborough, L.; Hamm, R.; Stovall, J.; Swenson, D.

    1980-01-01

    PIGMI (Pion Generator for Medical Irradiations) is a compact linear proton accelerator design, optimized for pion production and cancer treatment use in a hospital environment. Technology developed during a four-year PIGMI Prototype experimental program allows the design of smaller, less expensive, and more reliable proton linacs. A new type of low-energy accelerating structure, the radio-frequency quadrupole (RFQ) has been tested; it produces an exceptionally good-quality beam and allows the use of a simple 30-kV injector. Average axial electric-field gradients of over 9 MV/m have been demonstrated in a drift-tube linac (DTL) structure. Experimental work is underway to test the disk-and-washer (DAW) structure, another new type of accelerating structure for use in the high-energy coupled-cavity linac (CCL). Sufficient experimental and developmental progress has been made to closely define an actual PIGMI. It will consist of a 30-kV injector, and RFQ linac to a proton energy of 2.5 MeV, a DTL linac to 125 MeV, and a CCL linac to the final energy of 650 MeV. The total length of the accelerator is 133 meters. The RFQ and DTL will be driven by a single 440-MHz klystron; the CCL will be driven by six 1320-MHz klystrons. The peak beam current is 28 mA. The beam pulse length is 60 ..mu..s at a 60-Hz repetition rate, resulting in a 100-..mu..A average beam current. The total cost of the accelerator is estimated to be approx. $10 million.

  4. Applied geodesy (Book) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Book: Applied geodesy Citation Details In-Document Search Title: Applied geodesy This volume is based on the proceedings of the CERN Accelerator School's course on Applied Geodesy for Particle Accelerators held in April 1986. The purpose was to record and disseminate the knowledge gained in recent years on the geodesy of accelerators and other large systems. The latest methods for positioning equipment to sub-millimetric accuracy in deep underground tunnels several tens of kilometers long are

  5. Apply for Your First NERSC Allocation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Apply for Your First Allocation Apply for Your First NERSC Allocation Initial Steps Needed to Apply for Your First NERSC Allocation All work done at NERSC must be within the DOE Office of Science mission. See the Mission descriptions for each office at Allocations Overview and Eligibility. Prospective Principal Investigators without a NERSC login need to fill out two forms: The online ERCAP Access Request Form. If you wish to designate another person to fill out the request form you may

  6. Applied Field Research Initiative Attenuation Based Remedies

    Office of Environmental Management (EM)

    Laboratory (SRNL), the initiative is a collaborative effort that leverages DOE invest- ments in applied research and basic science and the work of the site contractors to...

  7. Applied Materials Inc AMAT | Open Energy Information

    Open Energy Info (EERE)

    manufacturer of equipment used in solar (silicon, thin-film, BIPV), semiconductor, and LCD markets. References: Applied Materials Inc (AMAT)1 This article is a stub. You can...

  8. Applied Quantum Technology AQT | Open Energy Information

    Open Energy Info (EERE)

    Quantum Technology AQT Jump to: navigation, search Name: Applied Quantum Technology (AQT) Place: Santa Clara, California Zip: 95054 Product: California-based manufacturer of CIGS...

  9. Applied Energy Management | Open Energy Information

    Open Energy Info (EERE)

    Energy Management Jump to: navigation, search Name: Applied Energy Management Place: Huntersville, North Carolina Zip: 28078 Sector: Efficiency, Renewable Energy Product: North...

  10. Nuclear Facilities and Applied Technologies at Sandia

    SciTech Connect (OSTI)

    Wheeler, Dave; Kaiser, Krista; Martin, Lonnie; Hanson, Don; Harms, Gary; Quirk, Tom

    2014-11-28

    The Nuclear Facilities and Applied Technologies organization at Sandia National Laboratories’ Technical Area Five (TA-V) is the leader in advancing nuclear technologies through applied radiation science and unique nuclear environments. This video describes the organization’s capabilities, facilities, and culture.

  11. Role of Design Standards in Wind Plant Optimization (Presentation)

    SciTech Connect (OSTI)

    Veers, P.; Churchfield, M.; Lee, S.; Moon, J.; Larsen, G.

    2013-10-01

    When a turbine is optimized, it is done within the design constraints established by the objective criteria in the international design standards used to certify a design. Since these criteria are multifaceted, it is a challenging task to conduct the optimization, but it can be done. The optimization is facilitated by the fact that a standard turbine model is subjected to standard inflow conditions that are well characterized in the standard. Examples of applying these conditions to rotor optimization are examined. In other cases, an innovation may provide substantial improvement in one area, but be challenged to impact all of the myriad design load cases. When a turbine is placed in a wind plant, the challenge is magnified. Typical design practice optimizes the turbine for stand-alone operation, and then runs a check on the actual site conditions, including wakes from all nearby turbines. Thus, each turbine in a plant has unique inflow conditions. The possibility of creating objective and consistent inflow conditions for turbines within a plant, for used in optimization of the turbine and the plant, are examined with examples taken from LES simulation.

  12. Wind Electrolysis: Hydrogen Cost Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Electrolysis: Hydrogen Cost Optimization Genevieve Saur and Todd Ramsden Technical Report NREL/TP-5600-50408 May 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Wind Electrolysis: Hydrogen Cost Optimization Genevieve Saur, Todd

  13. Optimized Algorithms Boost Combustion Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimized Algorithms Boost Combustion Research Optimized Algorithms Boost Combustion Research Methane Flame Simulations Run 6x Faster on NERSC's Hopper Supercomputer November 25, 2014 Contact: Kathy Kincade, +1 510 495 2124, kkincade@lbl.gov Turbulent combustion simulations, which provide input to the design of more fuel-efficient combustion systems, have gotten their own efficiency boost, thanks to researchers from the Computational Research Division (CRD) at Lawrence Berkeley National

  14. CENTRAL PLATEAU REMEDIATION OPTIMIZATION STUDY

    SciTech Connect (OSTI)

    BERGMAN, T. B.; STEFANSKI, L. D.; SEELEY, P. N.; ZINSLI, L. C.; CUSACK, L. J.

    2012-09-19

    THE CENTRAL PLATEAU REMEDIATION OPTIMIZATION STUDY WAS CONDUCTED TO DEVELOP AN OPTIMAL SEQUENCE OF REMEDIATION ACTIVITIES IMPLEMENTING THE CERCLA DECISION ON THE CENTRAL PLATEAU. THE STUDY DEFINES A SEQUENCE OF ACTIVITIES THAT RESULT IN AN EFFECTIVE USE OF RESOURCES FROM A STRATEGIC PERSPECTIVE WHEN CONSIDERING EQUIPMENT PROCUREMENT AND STAGING, WORKFORCE MOBILIZATION/DEMOBILIZATION, WORKFORCE LEVELING, WORKFORCE SKILL-MIX, AND OTHER REMEDIATION/DISPOSITION PROJECT EXECUTION PARAMETERS.

  15. Pump Systems Optimization: Energy Efficiency

    Energy Savers [EERE]

    Pump Systems Optimization: Energy Efficiency and Bottom-Line Savings Host this one-day course to help participants learn how to identify and reduce hidden operation and energy costs. Participants will: * Identify energy savings * Increase profitability * Increase reliability * Earn seven PDH credits Attendees of the "Pump Systems Optimization" one-day course will gain valuable new skills to help them improve centrifugal pump system efficiency to reduce energy and operating costs while

  16. Pyomo : Python Optimization Modeling Objects.

    SciTech Connect (OSTI)

    Siirola, John; Laird, Carl Damon; Hart, William Eugene; Watson, Jean-Paul

    2010-11-01

    The Python Optimization Modeling Objects (Pyomo) package [1] is an open source tool for modeling optimization applications within Python. Pyomo provides an objected-oriented approach to optimization modeling, and it can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. While Pyomo provides a capability that is commonly associated with algebraic modeling languages such as AMPL, AIMMS, and GAMS, Pyomo's modeling objects are embedded within a full-featured high-level programming language with a rich set of supporting libraries. Pyomo leverages the capabilities of the Coopr software library [2], which integrates Python packages (including Pyomo) for defining optimizers, modeling optimization applications, and managing computational experiments. A central design principle within Pyomo is extensibility. Pyomo is built upon a flexible component architecture [3] that allows users and developers to readily extend the core Pyomo functionality. Through these interface points, extensions and applications can have direct access to an optimization model's expression objects. This facilitates the rapid development and implementation of new modeling constructs and as well as high-level solution strategies (e.g. using decomposition- and reformulation-based techniques). In this presentation, we will give an overview of the Pyomo modeling environment and model syntax, and present several extensions to the core Pyomo environment, including support for Generalized Disjunctive Programming (Coopr GDP), Stochastic Programming (PySP), a generic Progressive Hedging solver [4], and a tailored implementation of Bender's Decomposition.

  17. Quality analysis of the solution produced by dissection algorithms applied to the traveling salesman problem

    SciTech Connect (OSTI)

    Cesari, G.

    1994-12-31

    The aim of this paper is to analyze experimentally the quality of the solution obtained with dissection algorithms applied to the geometric Traveling Salesman Problem. Starting from Karp`s results. We apply a divide and conquer strategy, first dividing the plane into subregions where we calculate optimal subtours and then merging these subtours to obtain the final tour. The analysis is restricted to problem instances where points are uniformly distributed in the unit square. For relatively small sets of cities we analyze the quality of the solution by calculating the length of the optimal tour and by comparing it with our approximate solution. When the problem instance is too large we perform an asymptotical analysis estimating the length of the optimal tour. We apply the same dissection strategy also to classical heuristics by calculating approximate subtours and by comparing the results with the average quality of the heuristic. Our main result is the estimate of the rate of convergence of the approximate solution to the optimal solution as a function of the number of dissection steps, of the criterion used for the plane division and of the quality of the subtours. We have implemented our programs on MUSIC (MUlti Signal processor system with Intelligent Communication), a Single-Program-Multiple-Data parallel computer with distributed memory developed at the ETH Zurich.

  18. Heuristic optimization of the scanning path of particle therapy beams

    SciTech Connect (OSTI)

    Pardo, J.; Donetti, M.; Bourhaleb, F.; Ansarinejad, A.; Attili, A.; Cirio, R.; Garella, M. A.; Giordanengo, S.; Givehchi, N.; La Rosa, A.; Marchetto, F.; Monaco, V.; Pecka, A.; Peroni, C.; Russo, G.; Sacchi, R.

    2009-06-15

    Quasidiscrete scanning is a delivery strategy for proton and ion beam therapy in which the beam is turned off when a slice is finished and a new energy must be set but not during the scanning between consecutive spots. Different scanning paths lead to different dose distributions due to the contribution of the unintended transit dose between spots. In this work an algorithm to optimize the scanning path for quasidiscrete scanned beams is presented. The classical simulated annealing algorithm is used. It is a heuristic algorithm frequently used in combinatorial optimization problems, which allows us to obtain nearly optimal solutions in acceptable running times. A study focused on the best choice of operational parameters on which the algorithm performance depends is presented. The convergence properties of the algorithm have been further improved by using the next-neighbor algorithm to generate the starting paths. Scanning paths for two clinical treatments have been optimized. The optimized paths are found to be shorter than the back-and-forth, top-to-bottom (zigzag) paths generally provided by the treatment planning systems. The gamma method has been applied to quantify the improvement achieved on the dose distribution. Results show a reduction of the transit dose when the optimized paths are used. The benefit is clear especially when the fluence per spot is low, as in the case of repainting. The minimization of the transit dose can potentially allow the use of higher beam intensities, thus decreasing the treatment time. The algorithm implemented for this work can optimize efficiently the scanning path of quasidiscrete scanned particle beams. Optimized scanning paths decrease the transit dose and lead to better dose distributions.

  19. Optimal joule heating of the subsurface

    DOE Patents [OSTI]

    Berryman, James G. (Danville, CA); Daily, William D. (Livermore, CA)

    1994-01-01

    A method for simultaneously heating the subsurface and imaging the effects of the heating. This method combines the use of tomographic imaging (electrical resistance tomography or ERT) to image electrical resistivity distribution underground, with joule heating by electrical currents injected in the ground. A potential distribution is established on a series of buried electrodes resulting in energy deposition underground which is a function of the resistivity and injection current density. Measurement of the voltages and currents also permits a tomographic reconstruction of the resistivity distribution. Using this tomographic information, the current injection pattern on the driving electrodes can be adjusted to change the current density distribution and thus optimize the heating. As the heating changes conditions, the applied current pattern can be repeatedly adjusted (based on updated resistivity tomographs) to affect real time control of the heating.

  20. Optimal joule heating of the subsurface

    DOE Patents [OSTI]

    Berryman, J.G.; Daily, W.D.

    1994-07-05

    A method for simultaneously heating the subsurface and imaging the effects of the heating is disclosed. This method combines the use of tomographic imaging (electrical resistance tomography or ERT) to image electrical resistivity distribution underground, with joule heating by electrical currents injected in the ground. A potential distribution is established on a series of buried electrodes resulting in energy deposition underground which is a function of the resistivity and injection current density. Measurement of the voltages and currents also permits a tomographic reconstruction of the resistivity distribution. Using this tomographic information, the current injection pattern on the driving electrodes can be adjusted to change the current density distribution and thus optimize the heating. As the heating changes conditions, the applied current pattern can be repeatedly adjusted (based on updated resistivity tomographs) to affect real time control of the heating.

  1. Application of optimal prediction to molecular dynamics

    SciTech Connect (OSTI)

    Barber IV, John Letherman

    2004-12-01

    Optimal prediction is a general system reduction technique for large sets of differential equations. In this method, which was devised by Chorin, Hald, Kast, Kupferman, and Levy, a projection operator formalism is used to construct a smaller system of equations governing the dynamics of a subset of the original degrees of freedom. This reduced system consists of an effective Hamiltonian dynamics, augmented by an integral memory term and a random noise term. Molecular dynamics is a method for simulating large systems of interacting fluid particles. In this thesis, I construct a formalism for applying optimal prediction to molecular dynamics, producing reduced systems from which the properties of the original system can be recovered. These reduced systems require significantly less computational time than the original system. I initially consider first-order optimal prediction, in which the memory and noise terms are neglected. I construct a pair approximation to the renormalized potential, and ignore three-particle and higher interactions. This produces a reduced system that correctly reproduces static properties of the original system, such as energy and pressure, at low-to-moderate densities. However, it fails to capture dynamical quantities, such as autocorrelation functions. I next derive a short-memory approximation, in which the memory term is represented as a linear frictional force with configuration-dependent coefficients. This allows the use of a Fokker-Planck equation to show that, in this regime, the noise is {delta}-correlated in time. This linear friction model reproduces not only the static properties of the original system, but also the autocorrelation functions of dynamical variables.

  2. Pi in Applied Optics | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Inside the Applied Optics Lab II Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share...

  3. Apply to the Cyclotron Institute REU Program

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    an advanced physicschemistry course. To apply for the REU Program, complete the 3 steps below: Fill out the on-line 2016 Cyclotron Institute REU Application Note: You will be...

  4. Applying computationally efficient schemes for biogeochemical cycles

    Office of Scientific and Technical Information (OSTI)

    (ACES4BGC) (Technical Report) | SciTech Connect Applying computationally efficient schemes for biogeochemical cycles (ACES4BGC) Citation Details In-Document Search Title: Applying computationally efficient schemes for biogeochemical cycles (ACES4BGC) NCAR contributed to the ACES4BGC project through software engineering work on aerosol model implementation, build system and script changes, coupler enhancements for biogeochemical tracers, improvements to the Community Land Model (CLM) code and

  5. SAGE, Summer of Applied Geophysical Experience

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    About Apply Who Qualifies Special Undergrad Information Contributors Faculty Past Programs Photo Gallery NSEC » CSES » SAGE SAGE, the Summer of Applied Geophysical Experience Application deadline: March 27, 2016, 5:00 pm MDT Contacts Institute Director Reinhard Friedel-Los Alamos SAGE Co-Director W. Scott Baldridge-Los Alamos SAGE Co-Director Larry Braile-Purdue University Professional Staff Assistant Georgia Sanchez (505) 665-0855 Email Application process for SAGE 2016 is now open. U.S.

  6. LANSCE | Lujan Center | Apply for Beamtime

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Apply for Beamtime LANSCE User Resources Tips for a Successful Proposal Step 1: Apply for Beam Time 1. Select an Instrument and a Local Contact 2. Submit Your Proposal Step 2: Before You Arrive 1. Complete the LANSCE User Facility Agreement Questionnaire 2. Arrange for Site Access 3. Prepare for Your Experiment: Contact Lujan Experiment Coordinator to arrange shipping of your samples. Talk to the beamline scientist about any electrical equipment you might bring. 4. Complete your training Step 3:

  7. How to Apply | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Postdoctoral Research Awards » How to Apply How to Apply Online Application Available at www.zintellect.com/Posting/Details/853 Application deadline May 7, 2015. Familiarize yourself with the benefits, obligations, eligibility requirements, and evaluation criteria. Familiarize yourself with the requirements and obligations to determine whether your education and professional goals are well aligned with the EERE Postdoctoral Research Awards. Read the Evaluation Criteria that will be used to

  8. Optimizing Installation, Operation, and Maintenance at Offshore...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optimizing Installation, Operation, and Maintenance at Offshore Wind Projects in the United States Optimizing Installation, Operation, and Maintenance at Offshore Wind Projects in...

  9. Michigan: General Motors Optimizes Engine Valve Technology |...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Michigan: General Motors Optimizes Engine Valve Technology Michigan: General Motors Optimizes Engine Valve Technology November 8, 2013 - 12:00am Addthis An EERE-supported effort to ...

  10. Optimize carbon dioxide sequestration, enhance oil recovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimize carbon dioxide sequestration, enhance oil recovery Optimize carbon dioxide sequestration, enhance oil recovery The simulation provides an important approach to estimate...

  11. Premix charge, compression ignition combustion system optimization...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Premix charge, compression ignition combustion system optimization Premix charge, compression ignition combustion system optimization Presentation given at DEER 2006, August 20-24,...

  12. Design Optimization of Piezoceramic Multilayer Actuators for...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Publications Design Optimization of Piezoceramic Multilayer Actuators for Heavy Duty Diesel Engine Fuel Injectors Vehicle Technologies Office Merit Review 2014: Design Optimization ...

  13. Design Optimization of Piezoceramic Multilayer Actuators for...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    More Documents & Publications Design Optimization of Piezoceramic Multilayer Actuators for Heavy Duty Diesel Engine Fuel Injectors Design Optimization of Piezoceramic Multilayer ...

  14. Optimizing Installation, Operation, and Maintenance at Offshore...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optimizing Installation, Operation, and Maintenance at Offshore Wind Projects in the United States Optimizing Installation, Operation, and Maintenance at Offshore Wind Projects in ...

  15. Intel compiler performance optimization and characterization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    compiler performance optimization and characterization Intel compiler performance optimization and characterization May 13, 2015 NERSC will host an in-depth training presentation...

  16. Reservoir-Stimulation Optimization with Operational Monitoring...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Reservoir-Stimulation Optimization with Operational Monitoring for Creation of Enhanced Geothermal Systems Reservoir-Stimulation Optimization with Operational Monitoring for ...

  17. Energy Optimizers USA | Open Energy Information

    Open Energy Info (EERE)

    Optimizers USA Jump to: navigation, search Name: Energy Optimizers USA Address: 6 S. 3rd Street Place: Tipp City, Ohio Zip: 45371 Sector: Biomass, Carbon, Geothermal energy,...

  18. Course Overview Pump Systems Matter Optimization | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Course Overview Pump Systems Matter Optimization Attendees of the "Pump Systems Optimization" one-day course will gain valuable new skills to help them improve...

  19. CX-008810: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    0: Categorical Exclusion Determination CX-008810: Categorical Exclusion Determination One Nevada Optimization of Microwave Telecommunication System CX(s) Applied: B1.19, B4.6 Date: 05/29/2012 Location(s): Nevada Offices(s): Loan Guarantee Program Office The Department of Energy proposed action is to support the upgrade and optimization of the microwave telecommunication system being used for the One Nevada Transmission Line Project, formerly known as the Southwest Intertie Project- South, using

  20. Optimal recovery of linear operators in non-Euclidean metrics

    SciTech Connect (OSTI)

    Osipenko, K Yu

    2014-10-31

    The paper looks at problems concerning the recovery of operators from noisy information in non-Euclidean metrics. A number of general theorems are proved and applied to recovery problems for functions and their derivatives from the noisy Fourier transform. In some cases, a family of optimal methods is found, from which the methods requiring the least amount of original information are singled out. Bibliography: 25 titles.

  1. CHP Installed Capacity Optimizer Software

    Energy Science and Technology Software Center (OSTI)

    2004-11-30

    The CHP Installed Capacity Optimizer is a Microsoft Excel spreadsheet application that determines the most economic amount of capacity of distributed generation and thermal utilization equipment (e.g., absorption chillers) to install for any user-defined set of load and cost data. Installing the optimum amount of capacity is critical to the life-cycle economic viability of a distributed generation/cooling heat and power (CHP) application. Using advanced optimization algorithms, the software accesses the loads, utility tariffs, equipment costs,more » etc., and provides to the user the most economic amount of system capacity to install.« less

  2. Distributed optimization system and method

    DOE Patents [OSTI]

    Hurtado, John E.; Dohrmann, Clark R.; Robinett, III, Rush D.

    2003-06-10

    A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.

  3. Optimal linear reconstruction of dark matter from halo catalogues

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Cai, Yan -Chuan; Bernstein, Gary; Sheth, Ravi K.

    2011-04-01

    The dark matter lumps (or "halos") that contain galaxies have locations in the Universe that are to some extent random with respect to the overall matter distributions. We investigate how best to estimate the total matter distribution from the locations of the halos. We derive the weight function w(M) to apply to dark-matter haloes that minimizes the stochasticity between the weighted halo distribution and its underlying mass density field. The optimal w(M) depends on the range of masses of halos being used. While the standard biased-Poisson model of the halo distribution predicts that bias weighting is optimal, the simple factmore » that the mass is comprised of haloes implies that the optimal w(M) will be a mixture of mass-weighting and bias-weighting. In N-body simulations, the Poisson estimator is up to 15× noisier than the optimal. Optimal weighting could make cosmological tests based on the matter power spectrum or cross-correlations much more powerful and/or cost effective.« less

  4. Optimal linear reconstruction of dark matter from halo catalogues

    SciTech Connect (OSTI)

    Cai, Yan -Chuan; Bernstein, Gary; Sheth, Ravi K.

    2011-04-01

    The dark matter lumps (or "halos") that contain galaxies have locations in the Universe that are to some extent random with respect to the overall matter distributions. We investigate how best to estimate the total matter distribution from the locations of the halos. We derive the weight function w(M) to apply to dark-matter haloes that minimizes the stochasticity between the weighted halo distribution and its underlying mass density field. The optimal w(M) depends on the range of masses of halos being used. While the standard biased-Poisson model of the halo distribution predicts that bias weighting is optimal, the simple fact that the mass is comprised of haloes implies that the optimal w(M) will be a mixture of mass-weighting and bias-weighting. In N-body simulations, the Poisson estimator is up to 15× noisier than the optimal. Optimal weighting could make cosmological tests based on the matter power spectrum or cross-correlations much more powerful and/or cost effective.

  5. Automated Cache Performance Analysis And Optimization

    SciTech Connect (OSTI)

    Mohror, Kathryn

    2013-12-23

    While there is no lack of performance counter tools for coarse-grained measurement of cache activity, there is a critical lack of tools for relating data layout to cache behavior to application performance. Generally, any nontrivial optimizations are either not done at all, or are done ”by hand” requiring significant time and expertise. To the best of our knowledge no tool available to users measures the latency of memory reference instructions for partic- ular addresses and makes this information available to users in an easy-to-use and intuitive way. In this project, we worked to enable the Open|SpeedShop performance analysis tool to gather memory reference latency information for specific instructions and memory ad- dresses, and to gather and display this information in an easy-to-use and intuitive way to aid performance analysts in identifying problematic data structures in their codes. This tool was primarily designed for use in the supercomputer domain as well as grid, cluster, cloud-based parallel e-commerce, and engineering systems and middleware. Ultimately, we envision a tool to automate optimization of application cache layout and utilization in the Open|SpeedShop performance analysis tool. To commercialize this soft- ware, we worked to develop core capabilities for gathering enhanced memory usage per- formance data from applications and create and apply novel methods for automatic data structure layout optimizations, tailoring the overall approach to support existing supercom- puter and cluster programming models and constraints. In this Phase I project, we focused on infrastructure necessary to gather performance data and present it in an intuitive way to users. With the advent of enhanced Precise Event-Based Sampling (PEBS) counters on recent Intel processor architectures and equivalent technology on AMD processors, we are now in a position to access memory reference information for particular addresses. Prior to the introduction of PEBS counters, cache behavior could only be measured reliably in the ag- gregate across tens or hundreds of thousands of instructions. With the newest iteration of PEBS technology, cache events can be tied to a tuple of instruction pointer, target address (for both loads and stores), memory hierarchy, and observed latency. With this information we can now begin asking questions regarding the efficiency of not only regions of code, but how these regions interact with particular data structures and how these interactions evolve over time. In the short term, this information will be vital for performance analysts understanding and optimizing the behavior of their codes for the memory hierarchy. In the future, we can begin to ask how data layouts might be changed to improve performance and, for a particular application, what the theoretical optimal performance might be. The overall benefit to be produced by this effort was a commercial quality easy-to- use and scalable performance tool that will allow both beginner and experienced parallel programmers to automatically tune their applications for optimal cache usage. Effective use of such a tool can literally save weeks of performance tuning effort. Easy to use. With the proposed innovations, finding and fixing memory performance issues would be more automated and hide most to all of the performance engineer exper- tise ”under the hood” of the Open|SpeedShop performance tool. One of the biggest public benefits from the proposed innovations is that it makes performance analysis more usable to a larger group of application developers. Intuitive reporting of results. The Open|SpeedShop performance analysis tool has a rich set of intuitive, yet detailed reports for presenting performance results to application developers. Our goal was to leverage this existing technology to present the results from our memory performance addition to Open|SpeedShop. Suitable for experts as well as novices. Application performance is getting more difficult to measure as the hardware platforms they run on become more complicated. This makes life dif

  6. Uniform insulation applied-B ion diode

    DOE Patents [OSTI]

    Seidel, David B. (Albuquerque, NM); Slutz, Stephen A. (Albuquerque, NM)

    1988-01-01

    An applied-B field extraction ion diode has uniform insulation over an anode surface for increased efficiency. When the uniform insulation is accomplished with anode coils, and a charge-exchange foil is properly placed, the ions may be focused at a point on the z axis.

  7. How to Apply for Senior Executive positions

    Broader source: Energy.gov [DOE]

    To apply vacancies for SENIOR EXECUTIVE SERVICE (SES) , SENIOR LEVEL (SL), SCIENTIFIC AND PROFESSIONAL (ST) positions within the Department of Energy please visit OPM's website: http://www.usajobs.gov. From this site, you may download announcements for vacancies of interest to you.

  8. PCx: Optimization Problem Solver | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    PCx: Optimization Problem Solver PCx: Optimization Problem Solver PCx is a highly efficient code for solving linear programming optimization problems. In addition to being a useful tool for mathematical computation, the PCx package lends itself readily to a wide array of optimization problems in business and industry, helping decision-makers to find optimal solutions to problems with numerous constraints and variants. PCx is based on the Mehrotra predictor-corrector interior-point algorithm. PCx

  9. Soliton molecules: Experiments and optimization

    SciTech Connect (OSTI)

    Mitschke, Fedor

    2014-10-06

    Stable compound states of several fiber-optic solitons have recently been demonstrated. In the first experiment their shape was approximated, for want of a better description, by a sum of Gaussians. Here we discuss an optimization strategy which helps to find preferable shapes so that the generation of radiative background is reduced.

  10. Wind Electrolysis: Hydrogen Cost Optimization

    SciTech Connect (OSTI)

    Saur, G.; Ramsden, T.

    2011-05-01

    This report describes a hydrogen production cost analysis of a collection of optimized central wind based water electrolysis production facilities. The basic modeled wind electrolysis facility includes a number of low temperature electrolyzers and a co-located wind farm encompassing a number of 3MW wind turbines that provide electricity for the electrolyzer units.

  11. Multicriteria optimization informed VMAT planning

    SciTech Connect (OSTI)

    Chen, Huixiao; Craft, David L.; Gierga, David P.

    2014-04-01

    We developed a patient-specific volumetric-modulated arc therapy (VMAT) optimization procedure using dose-volume histogram (DVH) information from multicriteria optimization (MCO) of intensity-modulated radiotherapy (IMRT) plans. The study included 10 patients with prostate cancer undergoing standard fractionation treatment, 10 patients with prostate cancer undergoing hypofractionation treatment, and 5 patients with head/neck cancer. MCO-IMRT plans using 20 and 7 treatment fields were generated for each patient on the RayStation treatment planning system (clinical version 2.5, RaySearch Laboratories, Stockholm, Sweden). The resulting DVH of the 20-field MCO-IMRT plan for each patient was used as the reference DVH, and the extracted point values of the resulting DVH of the MCO-IMRT plan were used as objectives and constraints for VMAT optimization. Weights of objectives or constraints of VMAT optimization or both were further tuned to generate the best match with the reference DVH of the MCO-IMRT plan. The final optimal VMAT plan quality was evaluated by comparison with MCO-IMRT plans based on homogeneity index, conformity number of planning target volume, and organ at risk sparing. The influence of gantry spacing, arc number, and delivery time on VMAT plan quality for different tumor sites was also evaluated. The resulting VMAT plan quality essentially matched the 20-field MCO-IMRT plan but with a shorter delivery time and less monitor units. VMAT plan quality of head/neck cancer cases improved using dual arcs whereas prostate cases did not. VMAT plan quality was improved by fine gantry spacing of 2 for the head/neck cancer cases and the hypofractionation-treated prostate cancer cases but not for the standard fractionation–treated prostate cancer cases. MCO-informed VMAT optimization is a useful and valuable way to generate patient-specific optimal VMAT plans, though modification of the weights of objectives or constraints extracted from resulting DVH of MCO-IMRT or both is necessary.

  12. Modal test optimization using VETO (Virtual Environment for Test Optimization)

    SciTech Connect (OSTI)

    Klenke, S.E.; Reese, G.M.; Schoof, L.A.; Shierling, C.

    1996-01-01

    We present a software environment integrating analysis and test-based models to support optimal modal test design through a Virtual Environment for Test Optimization (VETO). A goal in developing this software tool is to provide test and analysis organizations with a capability of mathematically simulating the complete test environment in software. Derived models of test equipment, instrumentation and hardware can be combined within the VETO to provide the user with a unique analysis and visualization capability to evaluate new and existing test methods. The VETO assists analysis and test engineers in maximizing the value of each modal test. It is particularly advantageous for structural dynamics model reconciliation applications. The VETO enables an engineer to interact with a finite element model of a test object to optimally place sensors and exciters and to investigate the selection of data acquisition parameters needed to conduct a complete modal survey. Additionally, the user can evaluate the use of different types of instrumentation such as filters, amplifiers and transducers for which models are available in the VETO. The dynamic response of most of the virtual instruments (including the device under test) is modeled in the state space domain. Design of modal excitation levels and appropriate test instrumentation are facilitated by the VETO`s ability to simulate such features as unmeasured external inputs, A/D quantization effects, and electronic noise. Measures of the quality of the experimental design, including the Modal Assurance Criterion, and the Normal Mode Indicator Function are available.

  13. Optimal control of CPR procedure using hemodynamic circulation model

    DOE Patents [OSTI]

    Lenhart, Suzanne M.; Protopopescu, Vladimir A.; Jung, Eunok

    2007-12-25

    A method for determining a chest pressure profile for cardiopulmonary resuscitation (CPR) includes the steps of representing a hemodynamic circulation model based on a plurality of difference equations for a patient, applying an optimal control (OC) algorithm to the circulation model, and determining a chest pressure profile. The chest pressure profile defines a timing pattern of externally applied pressure to a chest of the patient to maximize blood flow through the patient. A CPR device includes a chest compressor, a controller communicably connected to the chest compressor, and a computer communicably connected to the controller. The computer determines the chest pressure profile by applying an OC algorithm to a hemodynamic circulation model based on the plurality of difference equations.

  14. Applied Cathode Enhancement and Robustness Technologies (ACERT)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Accelerators, Electrodynamics » ACERT Applied Cathode Enhancement and Robustness Technologies (ACERT) World leading experts from fields of accelerator design & testing, chemical synthesis of nanomaterials, and shielding application of nanomaterials. thumbnail of Nathan Moody Nathan Moody Principal Investigator (PI) Email ACERT Logo Team Our project team, a part of Los Alamos National Laboratory (LANL) comprised of world leading experts from fields of accelerator design & testing,

  15. Real-time Optimization Method for Optical Parameters of Ion Implanters

    SciTech Connect (OSTI)

    Ogata, Seiji [ULVAC, Inc., Research and Development Div., 2500 Hagizono Chigasaki Kanagawa 253-8543 (Japan); Nishihashi, Tsutomu; Tonari, Kazuhiko [ULVAC, Inc., Inst. Semiconductor Technology, 1220-1 Suyama Susono Shizuoka 410-1231 (Japan); Yokoo, Hidekazu; Suzuki, Hideo; Hisamune, Takeshi [ULVAC, Inc., Semiconductor Equipment Div. 2, 1220-14 Suyama Susono Shizuoka 410-1231 (Japan); Araki, Masasumi [ULVAC, Inc., Software Development Control Solution Div., Hagizono Chigasaki Kanagawa 253-8543 (Japan)

    2006-11-13

    Real-time optimization for optical parameters, such as applied voltage to the electrostatic quadrupole lens, has been realized by using newly developed high-speed computation algorithm for charged particle beams. The virtual optimization code has been incorporated in the control system of SOPHI-200, which is the ULVAC'S new medium current ion implanter. Automatic setup within 5minutes is achieved for any recipe of implantation.

  16. Integrated Energy System Dispatch Optimization

    SciTech Connect (OSTI)

    Firestone, Ryan; Stadler, Michael; Marnay, Chris

    2006-06-16

    On-site cogeneration of heat and electricity, thermal and electrical storage, and curtailing/rescheduling demand options are often cost-effective to commercial and industrial sites. This collection of equipment and responsive consumption can be viewed as an integrated energy system(IES). The IES can best meet the sites cost or environmental objectives when controlled in a coordinated manner. However, continuously determining this optimal IES dispatch is beyond the expectations for operators of smaller systems. A new algorithm is proposed in this paper to approximately solve the real-time dispatch optimization problem for a generic IES containing an on-site cogeneration system subject to random outages, limited curtailment opportunities, an intermittent renewable electricity source, and thermal storage. An example demonstrates how this algorithm can be used in simulation to estimate the value of IES components.

  17. Optimization of Waste Disposal - 13338

    SciTech Connect (OSTI)

    Shephard, E.; Walter, N.; Downey, H.; Collopy, P.; Conant, J.

    2013-07-01

    From 2009 through 2011, remediation of areas of a former fuel cycle facility used for government contract work was conducted. Remediation efforts were focused on building demolition, underground pipeline removal, contaminated soil removal and removal of contaminated sediments from portions of an on-site stream. Prior to conducting the remediation field effort, planning and preparation for remediation (including strategic planning for waste characterization and disposal) was conducted during the design phase. During the remediation field effort, waste characterization and disposal practices were continuously reviewed and refined to optimize waste disposal practices. This paper discusses strategic planning for waste characterization and disposal that was employed in the design phase, and continuously reviewed and refined to optimize efficiency. (authors)

  18. NUG Single Node Optimization Presentation.

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Single Node Optimization on Hopper Michael Stewart, NERSC Introduction â—Ź Why are there so many compilers available on Hopper? â—Ź Strengths and weaknesses of each compiler. â—Ź Advice on choosing the most appropriate compiler for your work. â—Ź Comparative benchmark results. â—Ź How to compile and run with OpenMP for each compiler. â—Ź Recommendations for running hybrid MPI/OpenMP codes on a node. Why So Many Compilers on Hopper? â—Ź Franklin was delivered with the only commercially available

  19. Hybrid Optimization Software Suite (HOSS)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Hybrid Optimization Software Suite (HOSS) January 21, 2016 Request for Proposal Los Alamos National Security, LLC ("LANS") is the manager and operator of the Los Alamos National Laboratory ("LANL") for the U.S. Department of Energy's ("DOE's") National Nuclear Security Administration under contract DE-AC52-06NA25396. LANS is a mission-centric Federally Funded Research and Development Center focused on solving the most critical national security challenges through

  20. Constructal method to optimize solar thermochemical reactor design

    SciTech Connect (OSTI)

    Tescari, S.; Mazet, N.; Neveu, P.

    2010-09-15

    The objective of this study is the geometrical optimization of a thermochemical reactor, which works simultaneously as solar collector and reactor. The heat (concentrated solar radiation) is supplied on a small peripheral surface and has to be dispersed in the entire reactive volume in order to activate the reaction all over the material. A similarity between this study and the point to volume problem analyzed by the constructal approach (Bejan, 2000) is evident. This approach was successfully applied to several domains, for example for the coupled mass and conductive heat transfer (Azoumah et al., 2004). Focusing on solar reactors, this work aims to apply constructal analysis to coupled conductive and radiative heat transfer. As a first step, the chemical reaction is represented by a uniform heat sink inside the material. The objective is to optimize the reactor geometry in order to maximize its efficiency. By using some hypothesis, a simplified solution is found. A parametric study provides the influence of different technical and operating parameters on the maximal efficiency and on the optimal shape. Different reactor designs (filled cylinder, cavity and honeycomb reactors) are compared, in order to determine the most efficient structure according to the operating conditions. Finally, these results are compared with a CFD model in order to validate the assumptions. (author)

  1. Applied Energy Programs, SPO-AE: LANL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Kevin Ott 505-663-5537 Program Administrator Jutta Kayser 505-663-5649 Program Manager Karl Jonietz 505-663-5539 Program Manager Melissa Fox 505-663-5538 Budget Analyst Fawn Gore 505-665-0224 The Applied Energy Program Office (SPO-AE) manages Los Alamos National Laboratory programs funded by the Department of Energy's Offices of Energy Efficiency/Renewable Energy, Electricity Delivery and Energy Reliability, and Fossil Energy. With energy use increasing across the nation and the world, Los

  2. Apply for a Job | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    FAQs Answers to frequently asked questions about applying for a job at Argonne A Note About Privacy We do not ask you for personally identifiable information such as birthdate, social security number, or driver's license number. To ensure your privacy, please do not include such information in the documents that you upload to the system A Note About File Size Our application system has a file size limit of 820KB. While this is sufficient for the vast majority of documents, we have found that

  3. Optimization of High-order Wave Equations for Multicore CPUs

    Energy Science and Technology Software Center (OSTI)

    2011-11-01

    This is a simple benchmark to guage the performance of a high-order isotropic wave equation grid. The code is optimized for both SSE and AVX and is parallelized using OpenMP (see Optimization section). Structurally, the benchmark begins, reads a few command-line parameters, allocates and pads the four arrays (current, last, next wave fields, and the spatially varying but isotropic velocity), initializes these arrays, then runs the benchmark proper. The code then benchmarks the naive, SSEmore » (if supported), and AVX (if supported implementations) by applying the wave equation stencil 100 times and taking the average performance. Boundary conditions are ignored and would noiminally be implemented by the user. THus, the benchmark measures only the performance of the wave equation stencil and not a full simulation. The naive implementation is a quadruply (z,y,x, radius) nested loop that can handle arbitrarily order wave equations. The optimized (SSE/AVX) implentations are somewhat more complex as they operate on slabs and include a case statement to select an optimized inner loop depending on wave equation order.« less

  4. Network Optimization Models (RNAS and ATOM) | NISAC

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    been used to study policy options concerning the movement of toxic chemicals by rail. Air Transport Optimization Model (ATOM) The TOM is a network-optimization model designed to...

  5. Optim Energy Marketing LLC | Open Energy Information

    Open Energy Info (EERE)

    Optim Energy Marketing LLC Jump to: navigation, search Name: Optim Energy Marketing LLC Place: Texas References: EIA Form EIA-861 Final Data File for 2010 - File1a1 EIA Form 861...

  6. Optimization of radiation protection: a bibliography

    SciTech Connect (OSTI)

    Tang, G.R.; Khan, T.A.; Sullivan, S.G.

    1996-10-01

    This document provides a bibliography of radiation protection optimization documents. Abstracts, an author index, and a subject index are provided.

  7. Optimize Parallel Pumping Systems | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optimize Parallel Pumping Systems Optimize Parallel Pumping Systems This tip sheet describes how to optimize the performance of multiple pumps operating continuously as part of a parallel pumping system. PUMPING SYSTEMS TIP SHEET #8 PDF icon Optimize Parallel Pumping Systems (October 2006) More Documents & Publications Select an Energy-Efficient Centrifugal Pump Match Pumps to System Requirements Improving Pumping System Performance: A Sourcebook for Industry - Second Edition

  8. HOPSPACK: Hybrid Optimization Parallel Search Package.

    SciTech Connect (OSTI)

    Gray, Genetha A.; Kolda, Tamara G.; Griffin, Joshua; Taddy, Matt; Martinez-Canales, Monica

    2008-12-01

    In this paper, we describe the technical details of HOPSPACK (Hybrid Optimization Parallel SearchPackage), a new software platform which facilitates combining multiple optimization routines into asingle, tightly-coupled, hybrid algorithm that supports parallel function evaluations. The frameworkis designed such that existing optimization source code can be easily incorporated with minimalcode modification. By maintaining the integrity of each individual solver, the strengths and codesophistication of the original optimization package are retained and exploited.4

  9. Reverse Osmosis Optimization | Department of Energy

    Energy Savers [EERE]

    Reverse Osmosis Optimization Reverse Osmosis Optimization Report assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. It provides a general description of RO systems, the influence of RO systems on water use, and key areas where RO systems can be optimized to reduce water and energy consumption. This report is intended to help facility managers at Federal sites understand the basic concepts of the RO process and system

  10. Biotrans: Cost Optimization Model | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentbiotrans-cost-optimization-model,http Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration &...

  11. 2009 Applied and Environmental Microbiology GRC

    SciTech Connect (OSTI)

    Nicole Dubilier

    2009-07-12

    The topic of the 2009 Gordon Conference on Applied and Environmental Microbiology is: From Single Cells to the Environment. The Conference will present and discuss cutting-edge research on applied and environmental microbiology with a focus on understanding interactions between microorganisms and the environment at levels ranging from single cells to complex communities. The Conference will feature a wide range of topics such as single cell techniques (including genomics, imaging, and NanoSIMS), microbial diversity at scales ranging from clonal to global, environmental 'meta-omics', biodegradation and bioremediation, metal - microbe interactions, animal microbiomes and symbioses. The Conference will bring together investigators who are at the forefront of their field, and will provide opportunities for junior scientists and graduate students to present their work in poster format and exchange ideas with leaders in the field. Some poster presenters will be selected for short talks. The collegial atmosphere of this Conference, with extensive discussion sessions as well as opportunities for informal gatherings in the afternoons and evenings, provides an ideal setting for scientists from different disciplines to exchange ideas, brainstorm and discuss cross-disciplinary collaborations.

  12. Optimizing Monitoring Designs under Alternative Objectives

    SciTech Connect (OSTI)

    Gastelum, Jason A.; USA, Richland Washington; Porter, Ellen A.; USA, Richland Washington

    2014-12-31

    This paper describes an approach to identify monitoring designs that optimize detection of CO2 leakage from a carbon capture and sequestration (CCS) reservoir and compares the results generated under two alternative objective functions. The first objective function minimizes the expected time to first detection of CO2 leakage, the second more conservative objective function minimizes the maximum time to leakage detection across the set of realizations. The approach applies a simulated annealing algorithm that searches the solution space by iteratively mutating the incumbent monitoring design. The approach takes into account uncertainty by evaluating the performance of potential monitoring designs across a set of simulated leakage realizations. The approach relies on a flexible two-tiered signature to infer that CO2 leakage has occurred. This research is part of the National Risk Assessment Partnership, a U.S. Department of Energy (DOE) project tasked with conducting risk and uncertainty analysis in the areas of reservoir performance, natural leakage pathways, wellbore integrity, groundwater protection, monitoring, and systems level modeling.

  13. Memory Optimization for Phase-field Simulations

    SciTech Connect (OSTI)

    Derek Gaston; John Peterson; Andrew Slaughter; Cody Permann; David Andrs

    2014-08-01

    Phase-field simulations are computationally and memory intensive applications. Many of the phase-field simulations being conducted in support of NEAMS were not capable of running on “normal clusters” with 2-4GB of RAM per core, and instead required specialized “big-memory” clusters with 64GB per core. To address this issue, the MOOSE team developed a new Python-based utility called MemoryLogger, and applied it to locate, diagnose, and eradicate memory bottlenecks within the MOOSE framework. MemoryLogger allows for a better understanding of the memory usage of an application being run in parallel across a cluster. Memory usage information is captured for every individual process in a parallel job, and communicated to the head node of the cluster. Console text output from the application itself is automatically matched with this memory usage information to produce a detailed picture of memory usage over time, making it straightforward to identify the subroutines which contribute most to the application’s peak memory usage. The information produced by the MemoryLogger quickly and effectively narrows the search for memory optimizations to the most data-intensive parts of the simulation.

  14. Optimizing Monitoring Designs under Alternative Objectives

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Gastelum, Jason A.; USA, Richland Washington; Porter, Ellen A.; USA, Richland Washington

    2014-12-31

    This paper describes an approach to identify monitoring designs that optimize detection of CO2 leakage from a carbon capture and sequestration (CCS) reservoir and compares the results generated under two alternative objective functions. The first objective function minimizes the expected time to first detection of CO2 leakage, the second more conservative objective function minimizes the maximum time to leakage detection across the set of realizations. The approach applies a simulated annealing algorithm that searches the solution space by iteratively mutating the incumbent monitoring design. The approach takes into account uncertainty by evaluating the performance of potential monitoring designs across amore » set of simulated leakage realizations. The approach relies on a flexible two-tiered signature to infer that CO2 leakage has occurred. This research is part of the National Risk Assessment Partnership, a U.S. Department of Energy (DOE) project tasked with conducting risk and uncertainty analysis in the areas of reservoir performance, natural leakage pathways, wellbore integrity, groundwater protection, monitoring, and systems level modeling.« less

  15. Optimal Real-time Dispatch for Integrated Energy Systems

    SciTech Connect (OSTI)

    Firestone, Ryan Michael

    2007-05-31

    This report describes the development and application of a dispatch optimization algorithm for integrated energy systems (IES) comprised of on-site cogeneration of heat and electricity, energy storage devices, and demand response opportunities. This work is intended to aid commercial and industrial sites in making use of modern computing power and optimization algorithms to make informed, near-optimal decisions under significant uncertainty and complex objective functions. The optimization algorithm uses a finite set of randomly generated future scenarios to approximate the true, stochastic future; constraints are included that prevent solutions to this approximate problem from deviating from solutions to the actual problem. The algorithm is then expressed as a mixed integer linear program, to which a powerful commercial solver is applied. A case study of United States Postal Service Processing and Distribution Centers (P&DC) in four cities and under three different electricity tariff structures is conducted to (1) determine the added value of optimal control to a cogeneration system over current, heuristic control strategies; (2) determine the value of limited electric load curtailment opportunities, with and without cogeneration; and (3) determine the trade-off between least-cost and least-carbon operations of a cogeneration system. Key results for the P&DC sites studied include (1) in locations where the average electricity and natural gas prices suggest a marginally profitable cogeneration system, optimal control can add up to 67% to the value of the cogeneration system; optimal control adds less value in locations where cogeneration is more clearly profitable; (2) optimal control under real-time pricing is (a) more complicated than under typical time-of-use tariffs and (b) at times necessary to make cogeneration economic at all; (3) limited electric load curtailment opportunities can be more valuable as a compliment to the cogeneration system than alone; and (4) most of the trade-off between least-cost and least-carbon IES is determined during the system design stage; for the IES system considered, there is little difference between least-cost control and least-carbon control.

  16. HOMER: The Micropower Optimization Model

    SciTech Connect (OSTI)

    Not Available

    2004-03-01

    HOMER, the micropower optimization model, helps users to design micropower systems for off-grid and grid-connected power applications. HOMER models micropower systems with one or more power sources including wind turbines, photovoltaics, biomass power, hydropower, cogeneration, diesel engines, cogeneration, batteries, fuel cells, and electrolyzers. Users can explore a range of design questions such as which technologies are most effective, what size should components be, how project economics are affected by changes in loads or costs, and is the renewable resource adequate.

  17. Trajectory Analysis and Optimization System

    Energy Science and Technology Software Center (OSTI)

    1996-06-04

    TAOS is a general-purpose software tool capable of analyzing nearly any type of three degree-of-freedom point-mass, high-speed trajectory. Input files contain aerodynamic coefficients, propulsion data, and a trajectory description. The trajectory description divides the trajectory into segments, and within each segment, guidance rules provided by the user describe how the trajectory is computed. Output files contain tabulated trajectory information such as position, velocity, and acceleration. Parametric optimization provides a powerful method for satisfying mission-planning constraints,more » and trajectories involving more than one vehicle can be computed within a single problem.« less

  18. Optimized microsystems-enabled photovoltaics

    DOE Patents [OSTI]

    Cruz-Campa, Jose Luis; Nielson, Gregory N.; Young, Ralph W.; Resnick, Paul J.; Okandan, Murat; Gupta, Vipin P.

    2015-09-22

    Technologies pertaining to designing microsystems-enabled photovoltaic (MEPV) cells are described herein. A first restriction for a first parameter of an MEPV cell is received. Subsequently, a selection of a second parameter of the MEPV cell is received. Values for a plurality of parameters of the MEPV cell are computed such that the MEPV cell is optimized with respect to the second parameter, wherein the values for the plurality of parameters are computed based at least in part upon the restriction for the first parameter.

  19. FY 1990 Applied Sciences Branch annual report

    SciTech Connect (OSTI)

    Keyes, B.M.; Dippo, P.C.

    1991-11-01

    The Applied Sciences Branch actively supports the advancement of DOE/SERI goals for the development and implementation of the solar photovoltaic technology. The primary focus of the laboratories is to provide state-of-the-art analytical capabilities for materials and device characterization and fabrication. The branch houses a comprehensive facility which is capable of providing information on the full range of photovoltaic components. A major objective of the branch is to aggressively pursue collaborative research with other government laboratories, universities, and industrial firms for the advancement of photovoltaic technologies. Members of the branch disseminate research findings to the technical community in publications and presentations. This report contains information on surface and interface analysis, materials characterization, development, electro-optical characterization module testing and performance, surface interactions and FTIR spectroscopy.

  20. Optimal planning for the sustainable utilization of municipal solid waste

    SciTech Connect (OSTI)

    Santibańez-Aguilar, José Ezequiel; Ponce-Ortega, José María; Betzabe González-Campos, J.; Serna-González, Medardo; El-Halwagi, Mahmoud M.

    2013-12-15

    Highlights: • An optimization approach for the sustainable management of municipal solid waste is proposed. • The proposed model optimizes the entire supply chain network of a distributed system. • A case study for the sustainable waste management in the central-west part of Mexico is presented. • Results shows different interesting solutions for the case study presented. - Abstract: The increasing generation of municipal solid waste (MSW) is a major problem particularly for large urban areas with insufficient landfill capacities and inefficient waste management systems. Several options associated to the supply chain for implementing a MSW management system are available, however to determine the optimal solution several technical, economic, environmental and social aspects must be considered. Therefore, this paper proposes a mathematical programming model for the optimal planning of the supply chain associated to the MSW management system to maximize the economic benefit while accounting for technical and environmental issues. The optimization model simultaneously selects the processing technologies and their location, the distribution of wastes from cities as well as the distribution of products to markets. The problem was formulated as a multi-objective mixed-integer linear programing problem to maximize the profit of the supply chain and the amount of recycled wastes, where the results are showed through Pareto curves that tradeoff economic and environmental aspects. The proposed approach is applied to a case study for the west-central part of Mexico to consider the integration of MSW from several cities to yield useful products. The results show that an integrated utilization of MSW can provide economic, environmental and social benefits.

  1. Optimization of the Helical Orbits in the Tevatron

    SciTech Connect (OSTI)

    Alexahin, Y.; /Fermilab

    2007-06-01

    To avoid multiple head-on collisions the proton and antiproton beams in the Tevatron move along separate helical orbits created by 7 horizontal and 8 vertical electrostatic separators. Still the residual long-range beam-beam interactions can adversely affect particle motion at all stages from injection to collision. With increased intensity of the beams it became necessary to modify the orbits in order to mitigate the beam-beam effect on both antiprotons and protons. This report summarizes the work done on optimization of the Tevatron helical orbits, outlines the applied criteria and presents the achieved results.

  2. Rational Catalyst Design Applied to Development of Advanced Oxidation...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Rational Catalyst Design Applied to Development of Advanced Oxidation Catalysts for Diesel Emission Control Rational Catalyst Design Applied to Development of Advanced Oxidation ...

  3. Energy Department Extends Deadline to Apply for START Tribal...

    Energy Savers [EERE]

    Extends Deadline to Apply for START Tribal Renewable Energy Project Development Assistance to May 22, 2015 Energy Department Extends Deadline to Apply for START Tribal Renewable...

  4. Tritium research activities in Safety and Tritium Applied Research...

    Office of Environmental Management (EM)

    research activities in Safety and Tritium Applied Research (STAR) facility, Idaho National Laboratory Tritium research activities in Safety and Tritium Applied Research (STAR)...

  5. James Webb Space Telescope: PM Lessons Applied - Eric Smith,...

    Energy Savers [EERE]

    James Webb Space Telescope: PM Lessons Applied - Eric Smith, Deputy Program Director, NASA James Webb Space Telescope: PM Lessons Applied - Eric Smith, Deputy Program Director,...

  6. Opportunities to Apply Phase Change Materials to Building Enclosures...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Opportunities to Apply Phase Change Materials to Building Enclosures Webinar Opportunities to Apply Phase Change Materials to Building Enclosures Webinar Slides from the Building...

  7. Applying physics, teamwork to fusion energy science | Princeton Plasma

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Physics Lab Applying physics, teamwork to fusion energy science American Fusion News Category: Massachusetts Institute of Technology (MIT) Link: Applying physics, teamwork to fusion energy science

  8. 2008 Annual Merit Review Results Summary - 2. Applied Battery...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2. Applied Battery Research 2008 Annual Merit Review Results Summary - 2. Applied Battery Research DOE Vehicle Technologies Annual Merit Review PDF icon 2008meritreview2.pdf...

  9. Advanced Multivariate Analysis Tools Applied to Surface Analysis...

    Office of Scientific and Technical Information (OSTI)

    Advanced Multivariate Analysis Tools Applied to Surface Analysis. Citation Details In-Document Search Title: Advanced Multivariate Analysis Tools Applied to Surface Analysis. No...

  10. Statistical and Domain Analytics Applied to PV Module Lifetime...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science...

  11. Optical Diagnostics and Modeling Tools Applied to Diesel HCCI...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optical Diagnostics and Modeling Tools Applied to Diesel HCCI Optical Diagnostics and Modeling Tools Applied to Diesel HCCI 2002 DEER Conference Presentation: Caterpillar Engine...

  12. Magnetic relaxometry as applied to sensitive cancer detection...

    Office of Scientific and Technical Information (OSTI)

    relaxometry as applied to sensitive cancer detection and localization Title: Magnetic relaxometry as applied to sensitive cancer detection and localization Here we describe ...

  13. Artificial intelligence technologies applied to terrain analysis

    SciTech Connect (OSTI)

    Wright, J.C. ); Powell, D.R. )

    1990-01-01

    The US Army Training and Doctrine Command is currently developing, in cooperation with Los Alamos National Laboratory, a Corps level combat simulation to support military analytical studies. This model emphasizes high resolution modeling of the command and control processes, with particular attention to architectural considerations that enable extension of the model. A planned future extension is the inclusion of an computer based planning capability for command echelons that can be dynamical invoked during the execution of then model. Command and control is the process through which the activities of military forces are directed, coordinated, and controlled to achieve the stated mission. To perform command and control the commander must understand the mission, perform terrain analysis, understand his own situation and capabilities as well as the enemy situation and his probable actions. To support computer based planning, data structures must be available to support the computer's ability to understand'' the mission, terrain, own capabilities, and enemy situation. The availability of digitized terrain makes it feasible to apply artificial intelligence technologies to emulate the terrain analysis process, producing data structures for uses in planning. The work derived thus for to support the understanding of terrain is the topic of this paper. 13 refs., 5 figs., 6 tabs.

  14. Hybrid Optimization Parallel Search PACKage

    Energy Science and Technology Software Center (OSTI)

    2009-11-10

    HOPSPACK is open source software for solving optimization problems without derivatives. Application problems may have a fully nonlinear objective function, bound constraints, and linear and nonlinear constraints. Problem variables may be continuous, integer-valued, or a mixture of both. The software provides a framework that supports any derivative-free type of solver algorithm. Through the framework, solvers request parallel function evaluation, which may use MPI (multiple machines) or multithreading (multiple processors/cores on one machine). The framework providesmore » a Cache and Pending Cache of saved evaluations that reduces execution time and facilitates restarts. Solvers can dynamically create other algorithms to solve subproblems, a useful technique for handling multiple start points and integer-valued variables. HOPSPACK ships with the Generating Set Search (GSS) algorithm, developed at Sandia as part of the APPSPACK open source software project.« less

  15. HCCI Engine Optimization and Control

    SciTech Connect (OSTI)

    Rolf D. Reitz

    2005-09-30

    The goal of this project was to develop methods to optimize and control Homogeneous-Charge Compression Ignition (HCCI) engines, with emphasis on diesel-fueled engines. HCCI offers the potential of nearly eliminating IC engine NOx and particulate emissions at reduced cost over Compression Ignition Direct Injection engines (CIDI) by controlling pollutant emissions in-cylinder. The project was initiated in January, 2002, and the present report is the final report for work conducted on the project through December 31, 2004. Periodic progress has also been reported at bi-annual working group meetings held at USCAR, Detroit, MI, and at the Sandia National Laboratories. Copies of these presentation materials are available on CD-ROM, as distributed by the Sandia National Labs. In addition, progress has been documented in DOE Advanced Combustion Engine R&D Annual Progress Reports for FY 2002, 2003 and 2004. These reports are included as the Appendices in this Final report.

  16. Demonstration of integrated optimization software

    SciTech Connect (OSTI)

    2008-01-01

    NeuCO has designed and demonstrated the integration of five system control modules using its proprietary ProcessLink{reg_sign} technology of neural networks, advanced algorithms and fuzzy logic to maximize performance of coal-fired plants. The separate modules control cyclone combustion, sootblowing, SCR operations, performance and equipment maintenance. ProcessLink{reg_sign} provides overall plant-level integration of controls responsive to plant operator and corporate criteria. Benefits of an integrated approach include NOx reduction improvement in heat rate, availability, efficiency and reliability; extension of SCR catalyst life; and reduced consumption of ammonia. All translate into cost savings. As plant complexity increases through retrofit, repowering or other plant modifications, this integrated process optimization approach will be an important tool for plant operators. 1 fig., 1 photo.

  17. The Applied Mathematics for Power Systems (AMPS) (Technical Report...

    Office of Scientific and Technical Information (OSTI)

    sub-problems are addressed within the appropriate AMPS foundational pillar - complex systems, control theory, and optimization theory - and merged or 'reconstructed' at their...

  18. CX-005693: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    693: Categorical Exclusion Determination CX-005693: Categorical Exclusion Determination Solazyme Integrated Biorefinery (SzIBR): Diesel Fuels from Heterotrophic Algae CX(s) Applied: A9, B3.6 Date: 04/12/2011 Location(s): Peoria, Illinois Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Department of Energy (DOE) is proposing to provide federal funding to Solazyme to build, operate and optimize a pilot-scale Solazyme Integrated Biorefinery (SzIBR). DOE completed the National

  19. CX-011262: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    262: Categorical Exclusion Determination CX-011262: Categorical Exclusion Determination An Extensible Sensing and Control Platform for Building Energy Management CX(s) Applied: A9, B3.6 Date: 09/18/2013 Location(s): Pennsylvania Offices(s): Golden Field Office The Department of Energy is proposing to provide federal funding to Carnegie Mellon University to develop an open-source Building Automation System for optimizing electricity usage in small and medium-sized buildings. PDF icon

  20. Categorical Exclusion Determinations: Portsmouth Paducah Project Office |

    Office of Environmental Management (EM)

    Department of Energy Portsmouth Paducah Project Office Categorical Exclusion Determinations: Portsmouth Paducah Project Office Categorical Exclusion Determinations issued by Portsmouth Paducah Project Office. DOCUMENTS AVAILABLE FOR DOWNLOAD August 9, 2012 CX-009253: Categorical Exclusion Determination Optimization of Electrical Power at the Portsmouth Gaseous Diffusion Facility CX(s) Applied: B4.6, B4.11 Date: 08/09/2012 Location(s): Ohio Offices(s): Portsmouth Paducah Project Office May 9,

  1. Categorical Exclusion Determinations: South Dakota | Department of Energy

    Office of Environmental Management (EM)

    Dakota Categorical Exclusion Determinations: South Dakota Location Categorical Exclusion Determinations issued for actions in South Dakota. DOCUMENTS AVAILABLE FOR DOWNLOAD September 18, 2015 CX-100376 Categorical Exclusion Determination Optimize Multifunctional Catalysts For Efficiently Converting Lignocellulosic Biomass to Advanced Biofuels Award Number: DE-FC36-08GO88073 CX(s) Applied: A9, B3.6 Bioenergy Technologies Office Date: 09/18/2015 Location(s): South Dakota Office(s): Golden Field

  2. CX-009418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Electron Beam Melting CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  3. CX-009420: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Additive Manufacturing Using EOSINT M280 CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  4. CX-009419: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Magnetic Pulser CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  5. GASIFICATION PLANT COST AND PERFORMANCE OPTIMIZATION

    SciTech Connect (OSTI)

    Samuel S. Tam

    2002-05-01

    The goal of this series of design and estimating efforts was to start from the as-built design and actual operating data from the DOE sponsored Wabash River Coal Gasification Repowering Project and to develop optimized designs for several coal and petroleum coke IGCC power and coproduction projects. First, the team developed a design for a grass-roots plant equivalent to the Wabash River Coal Gasification Repowering Project to provide a starting point and a detailed mid-year 2000 cost estimate based on the actual as-built plant design and subsequent modifications (Subtask 1.1). This unoptimized plant has a thermal efficiency of 38.3% (HHV) and a mid-year 2000 EPC cost of 1,681 $/kW. This design was enlarged and modified to become a Petroleum Coke IGCC Coproduction Plant (Subtask 1.2) that produces hydrogen, industrial grade steam, and fuel gas for an adjacent Gulf Coast petroleum refinery in addition to export power. A structured Value Improving Practices (VIP) approach was applied to reduce costs and improve performance. The base case (Subtask 1.3) Optimized Petroleum Coke IGCC Coproduction Plant increased the power output by 16% and reduced the plant cost by 23%. The study looked at several options for gasifier sparing to enhance availability. Subtask 1.9 produced a detailed report on this availability analyses study. The Subtask 1.3 Next Plant, which retains the preferred spare gasification train approach, only reduced the cost by about 21%, but it has the highest availability (94.6%) and produces power at 30 $/MW-hr (at a 12% ROI). Thus, such a coke-fueled IGCC coproduction plant could fill a near term niche market. In all cases, the emissions performance of these plants is superior to the Wabash River project. Subtasks 1.5A and B developed designs for single-train coal and coke-fueled power plants. This side-by-side comparison of these plants, which contain the Subtask 1.3 VIP enhancements, showed their similarity both in design and cost (1,318 $/kW for the coal plant and 1,260 $/kW for the coke plant). Therefore, in the near term, a coke IGCC power plant could penetrate the market and provide a foundation for future coal-fueled facilities. Subtask 1.6 generated a design, cost estimate and economics for a multiple train coal-fueled IGCC powerplant, also based on the Subtaks 1.3 cases. The Subtask 1.6 four gasification train plant has a thermal efficiency of 40.6% (HHV) and cost 1,066 $/kW. The single-train advanced Subtask 1.4 plant, which uses an advanced ''G/H-class'' combustion turbine, can have a thermal efficiency of 45.4% (HHV) and a plant cost of 1,096 $/kW. Multi-train plants will further reduce the cost. Again, all these plants have superior emissions performance. Subtask 1.7 developed an optimized design for a coal to hydrogen plant. At current natural gas prices, this facility is not competitive with hydrogen produced from natural gas. The preferred scenario is to coproduce hydrogen in a plant similar to Subtask 1.3, as described above. Subtask 1.8 evaluated the potential merits of warm gas cleanup technology. This study showed that selective catalytic oxidation of hydrogen sulfide (SCOHS) is promising. As gasification technology matures, SCOHS and other improvements identified in this study will lead to further cost reductions and efficiency improvements.

  6. Building America Webinar: BEopt Optimization Tool and National...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    BEopt Optimization Tool and National Residential Efficiency Measures Database Building America Webinar: BEopt Optimization Tool and National Residential Efficiency Measures...

  7. C++ LIBRARY OF ALOGRITHMS FOR STOCHASTIC GLOBAL OPTIMIZATION

    Energy Science and Technology Software Center (OSTI)

    2001-10-25

    SGOPT is a C++ library that includes implementations of several algorithms for stochastic global optimization and derivative free optimization.

  8. Parallel Programming and Optimization for Intel Architecture

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Parallel Programming and Optimization for Intel Architecture Parallel Programming and Optimization for Intel Architecture August 14, 2015 by Richard Gerber Intel is sponsoring a series of webinars entitled "Parallel Programming and Optimization for Intel Architecture." Here's the schedule for August (Registration link is: https://attendee.gotowebinar.com/register/6325131222429932289) Mon, August 17 - "Hello world from Intel Xeon Phi coprocessors". Overview of architecture,

  9. Intel compiler performance optimization and characterization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    compiler performance optimization and characterization Intel compiler performance optimization and characterization May 13, 2015 NERSC will host an in-depth training presentation on using the Intel compiler as a performance optimization and characterization tool. The presentation will be May 13th from 10am to 12pm Pacific time. The speaker will be Rakesh Krishnaiyer of Intel. Abstract For identified hotspots/analysis done using performance profiling tools (such as VTune), we will discuss how to

  10. Key Actions for Optimizing for KNL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Key Actions for Optimizing for KNL Key Actions for Optimizing for KNL This webinar consisted of a presentation by Nathan Wichmann of Cray entitled, "Key Actions When Optimizing for KNL." Nathan is a Principal Performance Engineer responsible for tackling performance problems at Cray for many years and he is our contact for the NERSC/Cray Cori Applications Center of Excellence. Nathan's presentation results, in part, from his participation in several "brainstorming" telecons

  11. Computational optimization of synthetic water channels.

    SciTech Connect (OSTI)

    Rogers, David Michael; Rempe, Susan L. B.

    2012-12-01

    Membranes for liquid and gas separations and ion transport are critical to water purification, osmotic energy generation, fuel cells, batteries, supercapacitors, and catalysis. Often these membranes lack pore uniformity and robustness under operating conditions, which can lead to a decrease in performance. The lack of uniformity means that many pores are non-functional. Traditional membranes overcome these limitations by using thick membrane materials that impede transport and selectivity, which results in decreased performance and increased operating costs. For example, limitations in membrane performance demand high applied pressures to deionize water using reverse osmosis. In contrast, cellular membranes combine high flux and selective transport using membrane-bound protein channels operating at small pressure differences. Pore size and chemistry in the cellular channels is defined uniformly and with sub-nanometer precision through protein folding. The thickness of these cellular membranes is limited to that of the cellular membrane bilayer, about 4 nm thick, which enhances transport. Pores in the cellular membranes are robust under operating conditions in the body. Recent efforts to mimic cellular water channels for efficient water deionization produced a significant advance in membrane function. The novel biomimetic design achieved a 10-fold increase in membrane permeability to water flow compared to commercial membranes and still maintained high salt rejection. Despite this success, there is a lack of understanding about why this membrane performs so well. To address this lack of knowledge, we used highperformance computing to interrogate the structural and chemical environments experienced by water and electrolytes in the newly created biomimetic membranes. We also compared the solvation environments between the biomimetic membrane and cellular water channels. These results will help inform future efforts to optimize and tune the performance of synthetic biomimetic membranes for applications in water purification, energy, and catalysis.

  12. Soil Vapor Extraction System Optimization, Transition, and Closure Guidance

    SciTech Connect (OSTI)

    Truex, Michael J.; Becker, Dave; Simon, Michelle A.; Oostrom, Martinus; Rice, Amy K.; Johnson, Christian D.

    2013-02-08

    Soil vapor extraction (SVE) is a prevalent remediation approach for volatile contaminants in the vadose zone. A diminishing rate of contaminant extraction over time is typically observed due to 1) diminishing contaminant mass, and/or 2) slow rates of removal for contamination in low-permeability zones. After a SVE system begins to show indications of diminishing contaminant removal rate, SVE performance needs to be evaluated to determine whether the system should be optimized, terminated, or transitioned to another technology to replace or augment SVE. This guidance specifically addresses the elements of this type of performance assessment. While not specifically presented, the approach and analyses in this guidance could also be applied at the onset of remediation selection for a site as a way to evaluate current or future impacts to groundwater from vadose zone contamination. The guidance presented here builds from existing guidance for SVE design, operation, optimization, and closure from the U.S. Environmental Protection Agency, U.S. Army Corps of Engineers, and the Air Force Center for Engineering and the Environment. The purpose of the material herein is to clarify and focus on the specific actions and decisions related to SVE optimization, transition, and/or closure.

  13. Distributed Generation Dispatch Optimization under VariousElectricity Tariffs

    SciTech Connect (OSTI)

    Firestone, Ryan; Marnay, Chris

    2007-05-01

    The on-site generation of electricity can offer buildingowners and occupiers financial benefits as well as social benefits suchas reduced grid congestion, improved energy efficiency, and reducedgreenhouse gas emissions. Combined heat and power (CHP), or cogeneration,systems make use of the waste heat from the generator for site heatingneeds. Real-time optimal dispatch of CHP systems is difficult todetermine because of complicated electricity tariffs and uncertainty inCHP equipment availability, energy prices, and system loads. Typically,CHP systems use simple heuristic control strategies. This paper describesa method of determining optimal control in real-time and applies it to alight industrial site in San Diego, California, to examine: 1) the addedbenefit of optimal over heuristic controls, 2) the price elasticity ofthe system, and 3) the site-attributable greenhouse gas emissions, allunder three different tariff structures. Results suggest that heuristiccontrols are adequate under the current tariff structure and relativelyhigh electricity prices, capturing 97 percent of the value of thedistributed generation system. Even more value could be captured bysimply not running the CHP system during times of unusually high naturalgas prices. Under hypothetical real-time pricing of electricity,heuristic controls would capture only 70 percent of the value ofdistributed generation.

  14. Stochastic Optimal Scheduling of Residential Appliances with...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Return to Search Stochastic Optimal Scheduling of Residential Appliances with Renewable Energy Sources National Renewable Energy Laboratory Contact NREL About This Technology ...

  15. Infrared Mapping Helps Optimize Catalytic Reactions

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    evolution of reactants into a desired product could be an invaluable tool for optimizing pharmaceutical-related synthetic processes that take place in flow reactors. Schematic of...

  16. Fuzzy logic control and optimization system

    DOE Patents [OSTI]

    Lou, Xinsheng (West Hartford, CT)

    2012-04-17

    A control system (300) for optimizing a power plant includes a chemical loop having an input for receiving an input signal (369) and an output for outputting an output signal (367), and a hierarchical fuzzy control system (400) operably connected to the chemical loop. The hierarchical fuzzy control system (400) includes a plurality of fuzzy controllers (330). The hierarchical fuzzy control system (400) receives the output signal (367), optimizes the input signal (369) based on the received output signal (367), and outputs an optimized input signal (369) to the input of the chemical loop to control a process of the chemical loop in an optimized manner.

  17. Optimization of Industrial Enzymes - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    This Return to Search Optimization of Industrial Enzymes A Breakthrough for Greater Enzyme Efficiency Oak Ridge National Laboratory Contact ORNL About This Technology Technology...

  18. Co-Optimization of Fuels and Vehicles

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optimization of Fuels and Vehicles Jim Anderson, Ford Motor Company Bioenergy 2015 June 24, 2015 Sustainable Personal Transportation Materials, Manufacturing, End-of-Life Use Less...

  19. Optimizing parameters for predicting the geochemical behavior...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    the geochemical behavior and performance of discrete fracture networks in geothermal systems Optimizing parameters for predicting the geochemical behavior and performance of ...

  20. An optimization framework for workplace charging strategies ...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    addressing different eligible levels of charging technology and employees' demographic distributions. The optimization model is to minimize the lifetime cost of...

  1. Optimization of Advanced Diesel Engine Combustion Strategies...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation PDF icon ace020reitz2011o.pdf More Documents & Publications Optimization of Advanced ...

  2. Plant Optimization Technologies | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Science & Innovation Clean Coal Crosscutting Research Plant Optimization ... Clean Coal Turbines Gasification Fuel Cells Hydrogen from Coal Coal to Liquids Major ...

  3. Optimizing Asset Utilization and Operating Efficiency Efficiently...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of the solution for Smart Grid PDF icon Optimizing Asset Utilization and Operating Efficien Efficientl More Documents & Publications Metrics for Measuring Progress Toward ...

  4. Renewable Energy Optimization (REopt) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-06-01

    REopt is an energy planning platform offering concurrent, multiple technology integration and optimization capabilities to help clients meet their cost savings and energy performance goals.

  5. GASIFICATION PLANT COST AND PERFORMANCE OPTIMIZATION

    SciTech Connect (OSTI)

    Sheldon Kramer

    2003-09-01

    This project developed optimized designs and cost estimates for several coal and petroleum coke IGCC coproduction projects that produced hydrogen, industrial grade steam, and hydrocarbon liquid fuel precursors in addition to power. The as-built design and actual operating data from the DOE sponsored Wabash River Coal Gasification Repowering Project was the starting point for this study that was performed by Bechtel, Global Energy and Nexant under Department of Energy contract DE-AC26-99FT40342. First, the team developed a design for a grass-roots plant equivalent to the Wabash River Coal Gasification Repowering Project to provide a starting point and a detailed mid-year 2000 cost estimate based on the actual as-built plant design and subsequent modifications (Subtask 1.1). This non-optimized plant has a thermal efficiency to power of 38.3% (HHV) and a mid-year 2000 EPC cost of 1,681 $/kW.1 This design was enlarged and modified to become a Petroleum Coke IGCC Coproduction Plant (Subtask 1.2) that produces hydrogen, industrial grade steam, and fuel gas for an adjacent Gulf Coast petroleum refinery in addition to export power. A structured Value Improving Practices (VIP) approach was applied to reduce costs and improve performance. The base case (Subtask 1.3) Optimized Petroleum Coke IGCC Coproduction Plant increased the power output by 16% and reduced the plant cost by 23%. The study looked at several options for gasifier sparing to enhance availability. Subtask 1.9 produced a detailed report on this availability analyses study. The Subtask 1.3 Next Plant, which retains the preferred spare gasification train approach, only reduced the cost by about 21%, but it has the highest availability (94.6%) and produces power at 30 $/MW-hr (at a 12% ROI). Thus, such a coke-fueled IGCC coproduction plant could fill a near term niche market. In all cases, the emissions performance of these plants is superior to the Wabash River project. Subtasks 1.5A and B developed designs for single-train coal- and coke-fueled IGCC power plants. A side-by-side comparison of these plants, which contain the Subtask 1.3 VIP enhancements, shows their similarity both in design and cost (1,318 $/kW for the coal plant and 1,260 $/kW for the coke plant). Therefore, in the near term, a coke IGCC power plant could penetrate the market and provide a foundation for future coal-fueled facilities. Subtask 1.6 generated a design, cost estimate and economics for a four-train coal-fueled IGCC power plant, also based on the Subtask 1.3 cases. This plant has a thermal efficiency to power of 40.6% (HHV) and cost 1,066 $/kW. The single-train advanced Subtask 1.4 plant, which uses an advanced ''G/H-class'' combustion turbine, can have a thermal efficiency to power of 44.5% (HHV) and a plant cost of 1,116 $/kW. Multi-train plants will further reduce the cost. Again, all these plants have superior emissions performance. Subtask 1.7 developed an optimized design for a coal to hydrogen plant. At current natural gas prices, this facility is not competitive with hydrogen produced from natural gas. The preferred scenario is to co-produce hydrogen in a plant similar to Subtask 1.3, as described above. Subtask 1.8 evaluated the potential merits of warm gas cleanup technology. This study showed that selective catalytic oxidation of hydrogen sulfide (SCOHS) is promising. Subtask 2.1 developed a petroleum coke IGCC power plant with the coproduction of liquid fuel precursors from the Subtask 1.3 Next Plant by eliminating the export steam and hydrogen production and replacing it with a Fischer-Tropsch hydrocarbon synthesis facility that produced 4,125 bpd of liquid fuel precursors. By maximizing liquids production at the expense of power generation, Subtask 2.2 developed an optimized design that produces 10,450 bpd of liquid fuel precursors and 617 MW of export power from 5,417 tpd of dry petroleum coke. With 27 $/MW-hr power and 30 $/bbl liquids, the Subtask 2.2 plant can have a return on investment of 18%. Subtask 2.3 converted the Subtask 1.6 four-train coal fueled IGCC power plant

  6. Final Report of Optimization Algorithms for Hierarchical Problems, with Applications to Nanoporous Materials

    SciTech Connect (OSTI)

    Nash, Stephen G.

    2013-11-11

    The research focuses on the modeling and optimization of nanoporous materials. In systems with hierarchical structure that we consider, the physics changes as the scale of the problem is reduced and it can be important to account for physics at the fine level to obtain accurate approximations at coarser levels. For example, nanoporous materials hold promise for energy production and storage. A significant issue is the fabrication of channels within these materials to allow rapid diffusion through the material. One goal of our research is to apply optimization methods to the design of nanoporous materials. Such problems are large and challenging, with hierarchical structure that we believe can be exploited, and with a large range of important scales, down to atomistic. This requires research on large-scale optimization for systems that exhibit different physics at different scales, and the development of algorithms applicable to designing nanoporous materials for many important applications in energy production, storage, distribution, and use. Our research has two major research thrusts. The first is hierarchical modeling. We plan to develop and study hierarchical optimization models for nanoporous materials. The models have hierarchical structure, and attempt to balance the conflicting aims of model fidelity and computational tractability. In addition, we analyze the general hierarchical model, as well as the specific application models, to determine their properties, particularly those properties that are relevant to the hierarchical optimization algorithms. The second thrust was to develop, analyze, and implement a class of hierarchical optimization algorithms, and apply them to the hierarchical models we have developed. We adapted and extended the optimization-based multigrid algorithms of Lewis and Nash to the optimization models exemplified by the hierarchical optimization model. This class of multigrid algorithms has been shown to be a powerful tool for solving discretized optimization models. Our optimization models are multi-level models, however. They are more general, involving different governing equations at each level. A major aspect of this project was the development of flexible software that can be used to solve a variety of hierarchical optimization problems.

  7. E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR and

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Variable Valvetrain | Department of Energy Engine through Boosting, Spray Optimized GDi, VCR and Variable Valvetrain E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR and Variable Valvetrain 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. PDF icon ft_14_confer.pdf More Documents & Publications E85 Optimized Engine Gasoline Ultra Fuel Efficient Vehicle Enabling High Efficiency

  8. Sootblowing optimization for improved boiler performance

    DOE Patents [OSTI]

    James, John Robert; McDermott, John; Piche, Stephen; Pickard, Fred; Parikh, Neel J

    2013-07-30

    A sootblowing control system that uses predictive models to bridge the gap between sootblower operation and boiler performance goals. The system uses predictive modeling and heuristics (rules) associated with different zones in a boiler to determine an optimal sequence of sootblower operations and achieve boiler performance targets. The system performs the sootblower optimization while observing any operational constraints placed on the sootblowers.

  9. Sootblowing optimization for improved boiler performance

    DOE Patents [OSTI]

    James, John Robert; McDermott, John; Piche, Stephen; Pickard, Fred; Parikh, Neel J.

    2012-12-25

    A sootblowing control system that uses predictive models to bridge the gap between sootblower operation and boiler performance goals. The system uses predictive modeling and heuristics (rules) associated with different zones in a boiler to determine an optimal sequence of sootblower operations and achieve boiler performance targets. The system performs the sootblower optimization while observing any operational constraints placed on the sootblowers.

  10. Optimal design of reverse osmosis module networks

    SciTech Connect (OSTI)

    Maskan, F.; Wiley, D.E.; Johnston, L.P.M.; Clements, D.J.

    2000-05-01

    The structure of individual reverse osmosis modules, the configuration of the module network, and the operating conditions were optimized for seawater and brackish water desalination. The system model included simple mathematical equations to predict the performance of the reverse osmosis modules. The optimization problem was formulated as a constrained multivariable nonlinear optimization. The objective function was the annual profit for the system, consisting of the profit obtained from the permeate, capital cost for the process units, and operating costs associated with energy consumption and maintenance. Optimization of several dual-stage reverse osmosis systems were investigated and compared. It was found that optimal network designs are the ones that produce the most permeate. It may be possible to achieve economic improvements by refining current membrane module designs and their operating pressures.

  11. Production optimization in the Provincia field, Colombia

    SciTech Connect (OSTI)

    Blann, J.; Jacobson, L.; Faber, C.

    1989-02-01

    Designing or redesigning production facilities for optimum operation usually results in the generation of maximum profit from an installation. But in older fields, or fields where a short life is expected, design changes may not be a viable option. In such cases, obtaining maximum production within the limits of existing facilities, thereby minimizing new investments, may be an attractive option. This paper discusses application of the latter technique in the Provincia field, Colombia, to optimize oil and gas production within constraints imposed by periodic temporary gas-compression-capacity restrictions and by the configuration of existing oil and gas facilities. The multistep optimization program used at Provincia included improvement of individual well performance, optimization of individual well facilities, fieldwide optimization of surface facilities, and optimization of the field production scheme.

  12. POET: Parameterized Optimization for Empirical Tuning

    SciTech Connect (OSTI)

    Yi, Q; Seymour, K; You, H; Vuduc, R; Quinlan, D

    2007-01-29

    The excessive complexity of both machine architectures and applications have made it difficult for compilers to statically model and predict application behavior. This observation motivates the recent interest in performance tuning using empirical techniques. We present a new embedded scripting language, POET (Parameterized Optimization for Empirical Tuning), for parameterizing complex code transformations so that they can be empirically tuned. The POET language aims to significantly improve the generality, flexibility, and efficiency of existing empirical tuning systems. We have used the language to parameterize and to empirically tune three loop optimizations-interchange, blocking, and unrolling-for two linear algebra kernels. We show experimentally that the time required to tune these optimizations using POET, which does not require any program analysis, is significantly shorter than that when using a full compiler-based source-code optimizer which performs sophisticated program analysis and optimizations.

  13. X-Ray Photoelectron Spectroscopy (XPS) Applied to Soot & What...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Photoelectron Spectroscopy (XPS) Applied to Soot & What It Can Do for You X-Ray Photoelectron Spectroscopy (XPS) Applied to Soot & What It Can Do for You Presentation given at DEER...

  14. DOE - Office of Legacy Management -- Case School of Applied Science...

    Office of Legacy Management (LM)

    Case School of Applied Science Ohio State University - OH 0-01 FUSRAP Considered Sites Site: Case School of Applied Science, Ohio State University (OH.0-01 ) Eliminated from...

  15. Oregon Learning About and Applying for Water Rights Webpage ...

    Open Energy Info (EERE)

    Learning About and Applying for Water Rights Webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Oregon Learning About and Applying for Water...

  16. Aachen University of Applied Sciences | Open Energy Information

    Open Energy Info (EERE)

    Aachen University of Applied Sciences Place: Germany Sector: Services Product: General Financial & Legal Services ( Academic Research foundation ) References: Aachen...

  17. Applied Process Engineering Laborotory APEL | Open Energy Information

    Open Energy Info (EERE)

    Engineering Laborotory (APEL) Place: United States Sector: Services Product: General Financial & Legal Services ( Private family-controlled ) References: Applied Process...

  18. Applying for PMCDP/FPD Certification (initial) | Department of Energy

    Energy Savers [EERE]

    Services » Career Development (PMCDP) » Applying for PMCDP/FPD Certification (initial) Applying for PMCDP/FPD Certification (initial) Certification applicants are nominated by their respective Program Secretarial Office (PSO) to apply for FPD certification - candidates may not apply without program sponsorship. Each participating program has a dedicated point of contact (POC) whose role is to support the FPD applicant in preparing their certification package. First time applicants, as well as

  19. Attenuation-Based Remedies in the Subsurface Applied Field Research

    Energy Savers [EERE]

    Initiative (ABRS AFRI) | Department of Energy Attenuation-Based Remedies in the Subsurface Applied Field Research Initiative (ABRS AFRI) Attenuation-Based Remedies in the Subsurface Applied Field Research Initiative (ABRS AFRI) Attenuation-Based Remedies in the Subsurface Applied Field Research Initiative (ABRS AFRI) Located at the Savannah River Site in Aiken, South Carolina, the Attenuation-Based Remedies in the Subsurface Applied Field Research Initiative (ABRS AFRI) was established to

  20. Vehicle Technologies Office: Applied Battery Research | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Applied Battery Research Vehicle Technologies Office: Applied Battery Research Applied battery research addresses the barriers facing the lithium-ion systems that are closest to meeting the technical energy and power requirements for hybrid electric vehicle (HEV) and electric vehicle (EV) applications. In addition, applied battery research concentrates on technology transfer to ensure that the research results and lessons learned are effectively provided to U.S. automotive and battery

  1. Review of Natural Phenomena Hazards (NPH) Requirements Currently Applied to

    Office of Environmental Management (EM)

    the Thomas Jefferson National Accelerator Facility (TJNAF) | Department of Energy Review of Natural Phenomena Hazards (NPH) Requirements Currently Applied to the Thomas Jefferson National Accelerator Facility (TJNAF) Review of Natural Phenomena Hazards (NPH) Requirements Currently Applied to the Thomas Jefferson National Accelerator Facility (TJNAF) Review of Natural Phenomena Hazards (NPH) Requirements Currently Applied to the Thomas Jefferson National Accelerator Facility (TJNAF) By:

  2. Overview of Applied Battery Research | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    10 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C. PDF icon es014_henriksen_2010_o.pdf More Documents & Publications Overview of Applied Battery Research Overview and Progress of the Applied Battery Research (ABR) Activity Overview and Progress of the Applied Battery Research (ABR) Activity

  3. Applied Mathematics | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Applied Mathematics Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics Conferences And Workshops Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S. Department of

  4. Cold Climates Heat Pump Design Optimization

    SciTech Connect (OSTI)

    Abdelaziz, Omar [ORNL] [ORNL; Shen, Bo [ORNL] [ORNL

    2012-01-01

    Heat pumps provide an efficient heating method; however they suffer from sever capacity and performance degradation at low ambient conditions. This has deterred market penetration in cold climates. There is a continuing effort to find an efficient air source cold climate heat pump that maintains acceptable capacity and performance at low ambient conditions. Systematic optimization techniques provide a reliable approach for the design of such systems. This paper presents a step-by-step approach for the design optimization of cold climate heat pumps. We first start by describing the optimization problem: objective function, constraints, and design space. Then we illustrate how to perform this design optimization using an open source publically available optimization toolbox. The response of the heat pump design was evaluated using a validated component based vapor compression model. This model was treated as a black box model within the optimization framework. Optimum designs for different system configurations are presented. These optimum results were further analyzed to understand the performance tradeoff and selection criteria. The paper ends with a discussion on the use of systematic optimization for the cold climate heat pump design.

  5. Strategic plan for infrastructure optimization

    SciTech Connect (OSTI)

    Donley, C.D.

    1998-05-27

    This document represents Fluor Daniel Hanford`s and DynCorp`s Tri-Cities Strategic Plan for Fiscal Years 1998--2002, the road map that will guide them into the next century and their sixth year of providing safe and cost effective infrastructure services and support to the Department of Energy (DOE) and the Hanford Site. The Plan responds directly to the issues raised in the FDH/DOE Critical Self Assessment specifically: (1) a strategy in place to give DOE the management (systems) and physical infrastructure for the future; (2) dealing with the barriers that exist to making change; and (3) a plan to right-size the infrastructure and services, and reduce the cost of providing services. The Plan incorporates initiatives from several studies conducted in Fiscal Year 1997 to include: the Systems Functional Analysis, 200 Area Water Commercial Practices Plan, $ million Originated Cost Budget Achievement Plan, the 1OO Area Vacate Plan, the Railroad Shutdown Plan, as well as recommendations from the recently completed Review of Hanford Electrical Utility. These and other initiatives identified over the next five years will result in significant improvements in efficiency, allowing a greater portion of the infrastructure budget to be applied to Site cleanup. The Plan outlines a planning and management process that defines infrastructure services and structure by linking site technical base line data and customer requirements to work scope and resources. The Plan also provides a vision of where Site infrastructure is going and specific initiatives to get there.

  6. Optimal design of an overall controller of saturated synchronous machine under different loading

    SciTech Connect (OSTI)

    Saleh, A.; El-Gaafary, A.; El-Sherbiny, M.

    1983-06-01

    The main purpose of this paper is to design a feedback system that optimizes the dynamic response of a synchronous machine. Such a system should be stable for any small disturbance. Pontryagin's maximum principle, which gives the solution for the optimal linear regulator problem through the eigenvector method, is applied. The system consists of a synchronous machine connected to an infinite bus through a transmission line. The effect of two control signals fed to the voltage regulator and the mechanical system is investigated. Also the effect of machine saturation on dynamic response is included.

  7. Biological optimization systems for enhancing photosynthetic efficiency and methods of use

    DOE Patents [OSTI]

    Hunt, Ryan W.; Chinnasamy, Senthil; Das, Keshav C.; de Mattos, Erico Rolim

    2012-11-06

    Biological optimization systems for enhancing photosynthetic efficiency and methods of use. Specifically, methods for enhancing photosynthetic efficiency including applying pulsed light to a photosynthetic organism, using a chlorophyll fluorescence feedback control system to determine one or more photosynthetic efficiency parameters, and adjusting one or more of the photosynthetic efficiency parameters to drive the photosynthesis by the delivery of an amount of light to optimize light absorption of the photosynthetic organism while providing enough dark time between light pulses to prevent oversaturation of the chlorophyll reaction centers are disclosed.

  8. Optimization strategies for complex engineering applications

    SciTech Connect (OSTI)

    Eldred, M.S.

    1998-02-01

    LDRD research activities have focused on increasing the robustness and efficiency of optimization studies for computationally complex engineering problems. Engineering applications can be characterized by extreme computational expense, lack of gradient information, discrete parameters, non-converging simulations, and nonsmooth, multimodal, and discontinuous response variations. Guided by these challenges, the LDRD research activities have developed application-specific techniques, fundamental optimization algorithms, multilevel hybrid and sequential approximate optimization strategies, parallel processing approaches, and automatic differentiation and adjoint augmentation methods. This report surveys these activities and summarizes the key findings and recommendations.

  9. TRACKING CODE DEVELOPMENT FOR BEAM DYNAMICS OPTIMIZATION

    SciTech Connect (OSTI)

    Yang, L.

    2011-03-28

    Dynamic aperture (DA) optimization with direct particle tracking is a straight forward approach when the computing power is permitted. It can have various realistic errors included and is more close than theoretical estimations. In this approach, a fast and parallel tracking code could be very helpful. In this presentation, we describe an implementation of storage ring particle tracking code TESLA for beam dynamics optimization. It supports MPI based parallel computing and is robust as DA calculation engine. This code has been used in the NSLS-II dynamics optimizations and obtained promising performance.

  10. Socially optimal electric driving range of plug-in hybrid electric vehicles

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Kontou, Eleftheria; Yin, Yafeng; Lin, Zhenhong

    2015-07-25

    This study determines the optimal electric driving range of plug-in hybrid electric vehicles (PHEVs) that minimizes the daily cost borne by the society when using this technology. An optimization framework is developed and applied to datasets representing the US market. Results indicate that the optimal range is 16 miles with an average social cost of 3.19 per day when exclusively charging at home, compared to 3.27 per day of driving a conventional vehicle. The optimal range is found to be sensitive to the cost of battery packs and the price of gasoline. When workplace charging is available, the optimal electricmore » driving range surprisingly increases from 16 to 22 miles, as larger batteries would allow drivers to better take advantage of the charging opportunities to achieve longer electrified travel distances, yielding social cost savings. If workplace charging is available, the optimal density is to deploy a workplace charger for every 3.66 vehicles. Moreover, the diversification of the battery size, i.e., introducing a pair and triple of electric driving ranges to the market, could further decrease the average societal cost per PHEV by 7.45% and 11.5% respectively.« less

  11. Socially optimal electric driving range of plug-in hybrid electric vehicles

    SciTech Connect (OSTI)

    Kontou, Eleftheria; Yin, Yafeng; Lin, Zhenhong

    2015-07-25

    This study determines the optimal electric driving range of plug-in hybrid electric vehicles (PHEVs) that minimizes the daily cost borne by the society when using this technology. An optimization framework is developed and applied to datasets representing the US market. Results indicate that the optimal range is 16 miles with an average social cost of 3.19 per day when exclusively charging at home, compared to 3.27 per day of driving a conventional vehicle. The optimal range is found to be sensitive to the cost of battery packs and the price of gasoline. When workplace charging is available, the optimal electric driving range surprisingly increases from 16 to 22 miles, as larger batteries would allow drivers to better take advantage of the charging opportunities to achieve longer electrified travel distances, yielding social cost savings. If workplace charging is available, the optimal density is to deploy a workplace charger for every 3.66 vehicles. Moreover, the diversification of the battery size, i.e., introducing a pair and triple of electric driving ranges to the market, could further decrease the average societal cost per PHEV by 7.45% and 11.5% respectively.

  12. Fuel-Engine Co-Optimization

    Broader source: Energy.gov [DOE]

    The Fuel-Engine Co-Optimization initiative aims to simultaneously transform both transportation fuels and vehicles in order to maximize performance and energy efficiency, minimize environmental impact, and accelerate widespread adoption of innovative combustion strategies.

  13. Infrared Mapping Helps Optimize Catalytic Reactions

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and optimization of the catalytic reaction. Research conducted by: E. Gross, X.-Z. Shu, S. Alayoglu, F.D. Toste, and G.A. Somorjai (Univ. of California, Berkeley), and H.A....

  14. Optimizing Native Files in Energy.gov

    Broader source: Energy.gov [DOE]

    For native files in Energy.gov, following these best practices will result in better search results in commercial search engines. To learn how to optimize PDFs, see the PDF requirements.

  15. Optimal Technologies International Inc | Open Energy Information

    Open Energy Info (EERE)

    offers supply-side and demand-side management solutions targeted at the end-to-end optimization of power networks. Coordinates: 38.05241, -122.152539 Show Map Loading map......

  16. Optimizing PT Arun LNG main heat exchanger

    SciTech Connect (OSTI)

    Irawan, B.

    1995-12-01

    The capacity of a LNG liquefaction unit has been increased by upgrading the refrigeration system, without making changes to the main heat exchanger (MHE). It is interesting, that after all modifications were completed, a higher refrigerant circulation alone could not increase LNG production. However, by optimizing the refrigerant component ratio, the UA of the MHE increased and LNG production improved. This technical evaluation will provide recommendations and show how the evaluation of the internal temperature profile helped optimize the MHE operating conditions.

  17. CASL - Materials and Performance Optimization (MPO)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Materials and Performance Optimization (MPO) The Materials and Performance Optimization (MPO) focus area within CASL has recently developed and released a 3D modeling framework known as MAMBA (MPO Advanced Model for Boron Analysis) to predict CRUD deposition on nuclear fuel rods. CRUD, which refers to Chalk River Unidentified Deposit, is predominately a nickel-ferrite spinel corrosion product that deposits on hot fuel clad surfaces in nuclear reactors. CRUD has a lower thermal conductivity than

  18. Optimize carbon dioxide sequestration, enhance oil recovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimize carbon dioxide sequestration, enhance oil recovery Optimize carbon dioxide sequestration, enhance oil recovery The simulation provides an important approach to estimate the potential of storing carbon dioxide in depleted oil fields while simultaneously maximizing oil production. January 8, 2014 Schematic of a water-alternating-with-gas flood for CO2 sequestration and enhanced oil recovery. Schematic of a water-alternating-with-gas flood for CO2 sequestration and enhanced oil recovery.

  19. Optimizing Your Motor-Driven System

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    OPTIMIZING YOUR MOTOR-DRIVEN SYSTEM Electric motor-driven systems are estimated to consume over half of all electricity in the United States and over 70% of all electricity in many industrial plants. This fact sheet presents an overview of electric drive systems and highlights common ways you can improve system efficiency and reli- ability. By optimizing the efficiency of your motor-driven systems, you can increase productivity while saving significant amounts of energy and money. Introduction A

  20. Optimize carbon dioxide sequestration, enhance oil recovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimize carbon dioxide sequestration, enhance oil recovery Optimize carbon dioxide sequestration, enhance oil recovery The simulation provides an important approach to estimate the potential of storing carbon dioxide in depleted oil fields while simultaneously maximizing oil production. January 8, 2014 Schematic of a water-alternating-with-gas flood for CO2 sequestration and enhanced oil recovery. Schematic of a water-alternating-with-gas flood for CO2 sequestration and enhanced oil recovery.

  1. Premix charge, compression ignition combustion system optimization |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Premix charge, compression ignition combustion system optimization Premix charge, compression ignition combustion system optimization Presentation given at DEER 2006, August 20-24, 2006, Detroit, Michigan. Sponsored by the U.S. DOE's EERE FreedomCar and Fuel Partnership and 21st Century Truck Programs. PDF icon 2006_deer_gustafson.pdf More Documents & Publications Advanced Combustion Technology to Enable High Efficiency Clean Combustion Heavy-Duty HCCI Development

  2. Infrared Mapping Helps Optimize Catalytic Reactions

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Infrared Mapping Helps Optimize Catalytic Reactions Infrared Mapping Helps Optimize Catalytic Reactions Print Wednesday, 20 August 2014 07:59 A pathway to more effective and efficient synthesis of pharmaceuticals and other flow-reactor chemical products has been opened by a study in which, for the first time, the catalytic reactivity inside a microreactor was mapped in high resolution from start to finish. The formation of different chemical products during the reactions was analyzed in situ

  3. Data Center Optimization Plan | Department of Energy

    Office of Environmental Management (EM)

    Data Center Optimization Plan Data Center Optimization Plan The Department of Energy (DOE) is committed to the overall reduction in the number of its data centers, consolidation of IT services, energy efficiency improvements, and cost reductions in data center / IT infrastructure operations. In coordination with DOE's Strategic Sustainability Performance Plan (SSPP), DOE has set goals and performance targets that meet or exceed FDCCI objectives while introducing transformational IT services and

  4. Method for nonlinear optimization for gas tagging and other systems

    DOE Patents [OSTI]

    Chen, T.; Gross, K.C.; Wegerich, S.

    1998-01-06

    A method and system are disclosed for providing nuclear fuel rods with a configuration of isotopic gas tags. The method includes selecting a true location of a first gas tag node, selecting initial locations for the remaining n-1 nodes using target gas tag compositions, generating a set of random gene pools with L nodes, applying a Hopfield network for computing on energy, or cost, for each of the L gene pools and using selected constraints to establish minimum energy states to identify optimal gas tag nodes with each energy compared to a convergence threshold and then upon identifying the gas tag node continuing this procedure until establishing the next gas tag node until all remaining n nodes have been established. 6 figs.

  5. Method for nonlinear optimization for gas tagging and other systems

    DOE Patents [OSTI]

    Chen, Ting (Chicago, IL); Gross, Kenny C. (Bolingbrook, IL); Wegerich, Stephan (Glendale Heights, IL)

    1998-01-01

    A method and system for providing nuclear fuel rods with a configuration of isotopic gas tags. The method includes selecting a true location of a first gas tag node, selecting initial locations for the remaining n-1 nodes using target gas tag compositions, generating a set of random gene pools with L nodes, applying a Hopfield network for computing on energy, or cost, for each of the L gene pools and using selected constraints to establish minimum energy states to identify optimal gas tag nodes with each energy compared to a convergence threshold and then upon identifying the gas tag node continuing this procedure until establishing the next gas tag node until all remaining n nodes have been established.

  6. Tritium Permeation Activity at Safety and Tritium Applied Research (STAR)

    Office of Environmental Management (EM)

    Facility | Department of Energy Permeation Activity at Safety and Tritium Applied Research (STAR) Facility Tritium Permeation Activity at Safety and Tritium Applied Research (STAR) Facility Presentation from the 34th Tritium Focus Group Meeting held in Idaho Falls, Idaho on September 23-25, 2014. PDF icon Tritium Permeation Activity at Safety and Tritium Applied Research (STAR) Facility More Documents & Publications Tritium Behavior in Lead Lithium Eutectic (LLE) at Low Tritium Partial

  7. Apply for the Parallel Computing Summer Research Internship

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Parallel Computing » How to Apply Apply for the Parallel Computing Summer Research Internship Creating next-generation leaders in HPC research and applications development Program Co-Lead Robert (Bob) Robey Email Program Co-Lead Gabriel Rockefeller Email Program Co-Lead Hai Ah Nam Email Professional Staff Assistant Nicole Aguilar Garcia (505) 665-3048 Email Current application deadline is February 5, 2016 with notification by early March 2016. Who can apply? Upper division undergraduate

  8. 2008 Annual Merit Review Results Summary - 2. Applied Battery Research

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2-1 2. Applied Battery Research Introduction Applied battery research focuses on addressing the cross-cutting barriers facing the lithium-ion systems that are closest to meeting all of the technical energy and power requirements for hybrid electric vehicle (HEV) and electric vehicle (EV) applications. In addition, the applied battery research activity concentrates on technology transfer to ensure that the research results and lessons learned are effectively provided to U.S. automotive and

  9. Large Eddy Simulation (LES) Applied to Advanced Engine Combustion Research

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy Advanced Engine Combustion Research Large Eddy Simulation (LES) Applied to Advanced Engine Combustion Research 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon ace007_oefelein_2012_o.pdf More Documents & Publications Large Eddy Simulation (LES) Applied to Advanced Engine Combustion Research Large Eddy Simulation (LES) Applied to Low-Temperature and Diesel Engine Combustion Research

  10. El Paso County Geothermal Project: Innovative Research Technologies Applied

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    to the Geothermal Reosurce Potential at Fort Bliss | Department of Energy El Paso County Geothermal Project: Innovative Research Technologies Applied to the Geothermal Reosurce Potential at Fort Bliss El Paso County Geothermal Project: Innovative Research Technologies Applied to the Geothermal Reosurce Potential at Fort Bliss El Paso County Geothermal Project: Innovative Research Technologies Applied to the Geothermal Reosurce Potential at Fort Bliss presentation at the April 2013 peer

  11. Opportunities to Apply Phase Change Materials to Building Enclosures

    Energy Savers [EERE]

    Webinar | Department of Energy Opportunities to Apply Phase Change Materials to Building Enclosures Webinar Opportunities to Apply Phase Change Materials to Building Enclosures Webinar Slides from the Building America webinar on November 11, 2011. PDF icon webinar_pcm_enclosures_20111111.pdf More Documents & Publications Building America Webinar: Opportunities to Apply Phase Change Materials to Building Enclosures 2011 Residential Energy Efficiency Technical Update Meeting Summary

  12. Building America Expert Meeting: Recommendations for Applying Water Heaters

    Energy Savers [EERE]

    in Combination Space and Domestic Water Heating Systems | Department of Energy Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems Building America Expert Meeting: Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems This expert meeting was conducted by Building Science Corporation on July 31, 2011 in Westford, Massachusetts ; the topic of this meeting was 'Recommendations For Applying Water Heaters

  13. Energy Department Extends Deadline to Apply for START Tribal Renewable

    Office of Environmental Management (EM)

    Energy Project Development Assistance to May 22, 2015 | Department of Energy Extends Deadline to Apply for START Tribal Renewable Energy Project Development Assistance to May 22, 2015 Energy Department Extends Deadline to Apply for START Tribal Renewable Energy Project Development Assistance to May 22, 2015 April 30, 2015 - 4:05pm Addthis Energy Department Extends Deadline to Apply for START Tribal Renewable Energy Project Development Assistance to May 22, 2015 WASHINGTON, DC - The U.S.

  14. APPLIED TECHNOLOGY R&D | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Research & Development » APPLIED TECHNOLOGY R&D APPLIED TECHNOLOGY R&D rdplan-thumb.jpg Applied technology R&D projects monitor SSL technology advances and provide laboratory and field evaluations of emerging products. Impartial, trusted analysis from DOE identifies and characterizes technology problems early on, alerting manufacturers to needed improvements, and helping to put detailed information into the hands of buyers, which when used in discussions with manufacturers can

  15. Where to Apply for Weatherization Assistance | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    You are here Home » Weatherization Assistance Program » Where to Apply for Weatherization Assistance Where to Apply for Weatherization Assistance To apply for weatherization assistance you need to contact your state weatherization agency. The U.S. Department of Energy (DOE) does not provide weatherization services or services of any kind to individuals. DOE also does not process applications-this process is handled by each state. How to Determine if You Are Eligible for Weatherization

  16. XFEL diffraction: Developing processing methods to optimize data...

    Office of Scientific and Technical Information (OSTI)

    XFEL diffraction: Developing processing methods to optimize data quality Citation Details In-Document Search Title: XFEL diffraction: Developing processing methods to optimize data...

  17. Urea/Ammonia Distribution Optimization in an SCR Emission Control...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Ammonia Distribution Optimization in an SCR Emission Control System Through the Use of CFD Analysis UreaAmmonia Distribution Optimization in an SCR Emission Control System...

  18. Positive and Negative Electrodes: Novel and Optimized Materials...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Positive and Negative Electrodes: Novel and Optimized Materials Positive and Negative Electrodes: Novel and Optimized Materials 2010 DOE Vehicle Technologies and Hydrogen Programs...

  19. Oxidation State Optimization for Maximum Efficiency of NOx Adsorber...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    State Optimization for Maximum Efficiency of NOx Adsorber Catalysts Oxidation State Optimization for Maximum Efficiency of NOx Adsorber Catalysts Presentation given at the 16th...

  20. Analyses Guided Optimization of Wide Range and High Efficiency...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Analyses Guided Optimization of Wide Range and High Efficiency Turbocharger Compressor Analyses Guided Optimization of Wide Range and High Efficiency Turbocharger Compressor...

  1. Model-Based Transient Calibration Optimization for Next Generation...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Based Transient Calibration Optimization for Next Generation Diesel Engines Model-Based Transient Calibration Optimization for Next Generation Diesel Engines 2005 Diesel Engine...

  2. DOE Zero Energy Ready Home Webinar: Building Energy Optimization...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Webinar: Building Energy Optimization (BEopt) Software DOE Zero Energy Ready Home Webinar: Building Energy Optimization (BEopt) Software This webinar was presented on May 15, 2014...

  3. H2A Delivery: Forecourt Compression & Storage Optimization (Part...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Delivery: Forecourt Compression & Storage Optimization (Part II) H2A Delivery: Forecourt Compression & Storage Optimization (Part II) Presentation by Matthew Hooks of TIAX at the...

  4. The watershed-scale optimized and rearranged landscape design...

    Office of Scientific and Technical Information (OSTI)

    The watershed-scale optimized and rearranged landscape design (WORLD) model and local ... Title: The watershed-scale optimized and rearranged landscape design (WORLD) model and ...

  5. Optima: Co-Optimization of Fuels and Engines | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optima: Co-Optimization of Fuels and Engines Optima: Co-Optimization of Fuels and Engines doeoptimainitiativeoverview.pdf More Documents & Publications Optima Program Overview...

  6. Optimizing Radiation Protection of the Public and the Environment...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optimizing Radiation Protection of the Public and the Environment at the Department of Energy Optimizing Radiation Protection of the Public and the Environment at the Department of...

  7. Steam System Efficiency Optimized After J.R. Simplot Fertilizer...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Efficiency Optimized After J.R. Simplot Fertilizer Plant Receives Energy Assessment Steam System Efficiency Optimized After J.R. Simplot Fertilizer Plant Receives Energy Assessment...

  8. NREL-Renewable Energy Optimization Presentation | Open Energy...

    Open Energy Info (EERE)

    Renewable Energy Optimization Presentation (Redirected from Renewable Energy Optimization Presentation) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Renewable Energy...

  9. FEMP Completes 2000th Renewable Energy Optimization Screening...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    FEMP Completes 2000th Renewable Energy Optimization Screening FEMP Completes 2000th Renewable Energy Optimization Screening July 23, 2015 - 12:03pm Addthis REopt models the complex ...

  10. Optimization of Spin-Triplet Supercurrent in Ferromagnetic Josephson...

    Office of Scientific and Technical Information (OSTI)

    Optimization of Spin-Triplet Supercurrent in Ferromagnetic Josephson Junctions Prev Next Title: Optimization of Spin-Triplet Supercurrent in Ferromagnetic Josephson Junctions ...

  11. Investigation and Optimization of Biodiesel Chemistry for HCCI...

    Office of Scientific and Technical Information (OSTI)

    Optimization of Biodiesel Chemistry for HCCI Combustion Citation Details In-Document Search Title: Investigation and Optimization of Biodiesel Chemistry for HCCI Combustion Over ...

  12. EV Everywhere Batteries Workshop - Pack Design and Optimization...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Pack Design and Optimization Breakout Session Report EV Everywhere Batteries Workshop - Pack Design and Optimization Breakout Session Report Breakout session presentation for the...

  13. Online optimization of storage ring nonlinear beam dynamics ...

    Office of Scientific and Technical Information (OSTI)

    Online optimization of storage ring nonlinear beam dynamics Citation Details In-Document Search Title: Online optimization of storage ring nonlinear beam dynamics Authors: Huang,...

  14. Online optimization of storage ring nonlinear beam dynamics ...

    Office of Scientific and Technical Information (OSTI)

    Online optimization of storage ring nonlinear beam dynamics Citation Details In-Document Search Title: Online optimization of storage ring nonlinear beam dynamics You are...

  15. Design Potential of Metal Foil Substrates for Optimized DOC Performanc...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Potential of Metal Foil Substrates for Optimized DOC Performance Design Potential of Metal Foil Substrates for Optimized DOC Performance Poster presentation at the 2007 Diesel...

  16. Low cost fuel cell diffusion layer configured for optimized anode...

    Office of Scientific and Technical Information (OSTI)

    for optimized anode water management Citation Details In-Document Search Title: Low cost fuel cell diffusion layer configured for optimized anode water management A fuel cell ...

  17. Development of Optimal Catalyst Designs and Operating Strategies...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Development of Optimal Catalyst Designs and Operating Strategies for Lean NOx Reduction in Coupled LNT-SCR Systems Development of Optimal Catalyst Designs and Operating Strategies for ...

  18. Development of Optimal Catalyst Designs and Operating Strategies...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Development of Optimal Catalyst Designs and Operating Strategies for Lean NOx Reduction in Coupled LNT-SCR Systems Development of Optimal Catalyst Designs and Operating Strategies ...

  19. Optimized Pump Systems Save Coal Preparation Plant Money and...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optimized Pump Systems Save Coal Preparation Plant Money and Energy Optimized Pump Systems ... Using a systematic approach, three energy-saving opportunities were identified involving ...

  20. Smart Grid Control and Optimization (Technical Report) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Smart Grid Control and Optimization Citation Details In-Document Search Title: Smart Grid Control and Optimization Authors: Backhaus, Scott N. 1 ; Bent, Russell ...

  1. Electrical and Thermal Transport Optimization of High Efficient...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Electrical and Thermal Transport Optimization of High Efficient n-type Skutterudites Electrical and Thermal Transport Optimization of High Efficient n-type Skutterudites Work on...

  2. Sandia Energy - Wind Plant Optimization: SWiFT Restart Technical...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Plant Optimization: SWiFT Restart Technical Review Committee Home SWIFT Wind Energy Wind News Wind Plant Optimization: SWiFT Restart Technical Review Committee Previous Next Wind...

  3. Modifications and Optimization of the Organic Rankine Cycle ...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Modifications and Optimization of the Organic Rankine Cycle Modifications and Optimization of the Organic Rankine Cycle organicrankinecycle.pdf More Documents & Publications A...

  4. Reducing Duration of Refueling Outage by Optimizing Core Design and Shuffling Sequence

    SciTech Connect (OSTI)

    Wakker, P.H.; Verhagen, F.C.M.; Bloois, J.T. van; Sutton, W.R. III

    2005-07-15

    Reducing the duration of refueling outage is possible by optimizing the core design and the shuffling sequence. For both options software tools have been developed that have been applied to the three most recent cycles of the Borssele plant in the Netherlands. Applicability of the shuffling sequence optimization to boiling water reactors has been demonstrated by a comparison to a recent shuffle plan used in the Hatch plant located in the United States. Their uses have shown that both core design and shuffling sequence optimization can be exploited to reduce the time needed for reloading a core with an in-core shuffling scheme. Ex-core shuffling schemes for pressurized water reactors can still have substantial benefit from a core design using a minimized number of insert shuffles.

  5. High-throughput generation, optimization and analysis of genome-scale metabolic models.

    SciTech Connect (OSTI)

    Henry, C. S.; DeJongh, M.; Best, A. A.; Frybarger, P. M.; Linsay, B.; Stevens, R. L.

    2010-09-01

    Genome-scale metabolic models have proven to be valuable for predicting organism phenotypes from genotypes. Yet efforts to develop new models are failing to keep pace with genome sequencing. To address this problem, we introduce the Model SEED, a web-based resource for high-throughput generation, optimization and analysis of genome-scale metabolic models. The Model SEED integrates existing methods and introduces techniques to automate nearly every step of this process, taking {approx}48 h to reconstruct a metabolic model from an assembled genome sequence. We apply this resource to generate 130 genome-scale metabolic models representing a taxonomically diverse set of bacteria. Twenty-two of the models were validated against available gene essentiality and Biolog data, with the average model accuracy determined to be 66% before optimization and 87% after optimization.

  6. Overview and Progress of the Applied Battery Research (ABR) Activity...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Fabricate PHEV Cells for Testing & Diagnostics Overview and Progress of the Applied Battery Research (ABR) Activity Current Research Activities in Electrode and Cell Prototyping...

  7. WEBINAR: UNDERSTANDING AND APPLYING TM-30-15 | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    provided examples of how they can be applied by various users, and demonstrated the Excel tools that are distributed with the document. View the presentation slides View the ...

  8. Apply: Funding Opportunity - Advancing Solutions to Improve Energy...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Advancing Solutions to Improve Energy Efficiency of Commercial Buildings Apply: Funding Opportunity - Advancing Solutions to Improve Energy Efficiency of Commercial Buildings ...

  9. Apply: Small Business Funding Opportunity for Lighting, Integrated...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Small Business Funding Opportunity for Lighting, Integrated Storage, and Distributed Generation Apply: Small Business Funding Opportunity for Lighting, Integrated Storage, and ...

  10. Apply: Building Energy Efficiency Frontiers and Incubator Technologies...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Incubator Technologies (BENEFIT) - 2014 (DE-FOA-0001027) Apply: Building Energy Efficiency Frontiers and Incubator Technologies (BENEFIT) - 2014 (DE-FOA-0001027) February 4, 2014 - ...

  11. Solar Applied Materials Technology Corp | Open Energy Information

    Open Energy Info (EERE)

    Name: Solar Applied Materials Technology Corp Place: Tainan, Taiwan Product: Taiwan's material process specialists with over 20 years experience and in the areas of sputtering...

  12. Building America Whole-House Solutions for Existing Homes: Applying...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Building America Whole-House Solutions for Existing Homes: Applying Best Practices to Florida Local Government Retrofit Programs - Central Florida (Fact Sheet) Building America...

  13. ENERGY STAR Webinar: How to Apply for the ENERGY STAR

    Broader source: Energy.gov [DOE]

    The U.S. Environmental Protection Agency (EPA) is hosting a webinar on how to apply for ENERGY STAR certification in Portfolio Manager.

  14. The generalized finite element method applied to the dynamic...

    Office of Scientific and Technical Information (OSTI)

    Title: The generalized finite element method applied to the dynamic response of heterogeneous media. Authors: Robbins, Joshua ; Voth, Thomas E. Publication Date: 2013-02-01 OSTI ...

  15. Large Eddy Simulation (LES) Applied to Advanced Engine Combustion...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Advanced Engine Combustion Research Large Eddy Simulation (LES) Applied to Advanced Engine Combustion Research 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies...

  16. Applied Materials Switzerland SA Formerly HCT Shaping Systems...

    Open Energy Info (EERE)

    Switzerland SA Formerly HCT Shaping Systems SA Jump to: navigation, search Name: Applied Materials Switzerland SA (Formerly HCT Shaping Systems SA) Place: Chezeaux, Switzerland...

  17. Building America Webinar: Opportunities to Apply Phase Change...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Building America Webinar: Opportunities to Apply Phase Change Materials to Building Enclosures This webinar, presented by research team Fraunhofer Center for Sustainable Energy ...

  18. Attenuation-Based Remedies in the Subsurface Applied Field Research...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    (DOE) Environmental Management (EM) sites. The ABRS AFRI site provides a unique setting for researchers in both applied and basic science fields. A wealth of subsurface data is ...

  19. Applied Solar LLC formerly Open Energy Corp and Barnabus Energy...

    Open Energy Info (EERE)

    Open Energy Corp and Barnabus Energy Inc Jump to: navigation, search Name: Applied Solar LLC (formerly Open Energy Corp and Barnabus Energy Inc) Place: San Diego, California...

  20. BLM Manual 2804: Applying for FLPMA Grants | Open Energy Information

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: BLM Manual 2804: Applying for FLPMA GrantsPermittingRegulatory...

  1. Deep Vadose Zone Applied Field Research Initiative (DVZ-AFRI...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Located on the Hanford Site in Richland, Washington, the Deep Vadose Zone Applied Field Research Initiative (DVZ AFRI) was established to protect water resources by addressing the ...

  2. Modular Applied General Equilibrium Tool (MAGNET) | Open Energy...

    Open Energy Info (EERE)

    Related Tools CRiSTAL Forests MCA4Climate - Guidance for scientifically sound climate change planning Environmental Impact and Sustainability Applied General Equilibrium Model...

  3. Am Shav Technological Applied Development Center | Open Energy...

    Open Energy Info (EERE)

    Technological Applied Development Center Place: Israel Sector: Services Product: General Financial & Legal Services ( Private family-controlled ) References: Am-Shav...

  4. Remote Gas Well Monitoring Technology Applied to Marcellus Shale...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... for Improved Enhanced Oil Recovery Technique Remote Gas Well Monitoring Technology Applied to Marcellus Shale Site New Breathalyzer Offers Hope of Pain-Free Diabetes Monitoring

  5. Parallel continuation-based global optimization for molecular conformation and protein folding

    SciTech Connect (OSTI)

    Coleman, T.F.; Wu, Z. [Cornell Univ., Ithaca, NY (United States)

    1994-12-31

    This paper presents the authors` recent work on developing parallel algorithms and software for solving the global minimization problem for molecular conformation, especially protein folding. Global minimization problems are difficult to solve when the objective functions have many local minimizers, such as the energy functions for protein folding. In their approach, to avoid directly minimizing a ``difficult`` function, a special integral transformation is introduced to transform the function into a class of gradually deformed, but ``smoother`` or ``easier`` functions. An optimization procedure is then applied to the new functions successively, to trace their solutions back to the original function. The method can be applied to a large class of nonlinear partially separable functions including energy functions for molecular conformation and protein folding. Mathematical theory for the method, as a special continuation approach to global optimization, is established. Algorithms with different solution tracing strategies are developed. Different levels of parallelism are exploited for the implementation of the algorithms on massively parallel architectures.

  6. Optimal Decentralized Protocol for Electric Vehicle Charging

    SciTech Connect (OSTI)

    Gan, LW; Topcu, U; Low, SH

    2013-05-01

    We propose a decentralized algorithm to optimally schedule electric vehicle (EV) charging. The algorithm exploits the elasticity of electric vehicle loads to fill the valleys in electric load profiles. We first formulate the EV charging scheduling problem as an optimal control problem, whose objective is to impose a generalized notion of valley-filling, and study properties of optimal charging profiles. We then give a decentralized algorithm to iteratively solve the optimal control problem. In each iteration, EVs update their charging profiles according to the control signal broadcast by the utility company, and the utility company alters the control signal to guide their updates. The algorithm converges to optimal charging profiles (that are as "flat" as they can possibly be) irrespective of the specifications (e.g., maximum charging rate and deadline) of EVs, even if EVs do not necessarily update their charging profiles in every iteration, and use potentially outdated control signal when they update. Moreover, the algorithm only requires each EV solving its local problem, hence its implementation requires low computation capability. We also extend the algorithm to track a given load profile and to real-time implementation.

  7. Tool Support for Software Lookup Table Optimization

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wilcox, Chris; Strout, Michelle Mills; Bieman, James M.

    2011-01-01

    A number of scientific applications are performance-limited by expressions that repeatedly call costly elementary functions. Lookup table (LUT) optimization accelerates the evaluation of such functions by reusing previously computed results. LUT methods can speed up applications that tolerate an approximation of function results, thereby achieving a high level of fuzzy reuse. One problem with LUT optimization is the difficulty of controlling the tradeoff between performance and accuracy. The current practice of manual LUT optimization adds programming effort by requiring extensive experimentation to make this tradeoff, and such hand tuning can obfuscate algorithms. In this paper we describe a methodology andmore » tool implementation to improve the application of software LUT optimization. Our Mesa tool implements source-to-source transformations for C or C++ code to automate the tedious and error-prone aspects of LUT generation such as domain profiling, error analysis, and code generation. We evaluate Mesa with five scientific applications. Our results show a performance improvement of 3.0× and 6.9× for two molecular biology algorithms, 1.4× for a molecular dynamics program, 2.1× to 2.8× for a neural network application, and 4.6× for a hydrology calculation. We find that Mesa enables LUT optimization with more control over accuracy and less effort than manual approaches.« less

  8. CX-008179: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Building 09-056 Demolition CX(s) Applied: B1.23 Date: 04/24/2012 Location(s): Texas Offices(s): Pantex Site Office

  9. CX-007550: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kearney - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  10. CX-007549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Harrisonville - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  11. CX-012310: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Sawmill Creek Stream Bank Erosion CX(s) Applied: B1.3 Date: 06/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  12. CX-009423: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Relay and Switchboard Panel Replacements CX(s) Applied: B4.6 Date: 10/29/2012 Location(s): Arkansas Offices(s): Southwestern Power Administration

  13. CX-011626: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Line Yard Fence Project CX(s) Applied: B1.11 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  14. CX-011628: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Enclosure Modification Project CX(s) Applied: B1.3 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  15. CX-011630: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    9831 Wall Construction Project CX(s) Applied: B1.3 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  16. CX-009753: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Propane Corridor Development Program CX(s) Applied: B5.22 Date: 12/06/2012 Location(s): Georgia Offices(s): National Energy Technology Laboratory

  17. CX-012799: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Malin-Hilltop Wood Pole Replacements CX(s) Applied: B1.3Date: 41915 Location(s): CaliforniaOffices(s): Bonneville Power Administration

  18. CX-012805: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Brasada-Harney #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41908 Location(s): OregonOffices(s): Bonneville Power Administration

  19. CX-012813: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Redmond-Pilot Butte #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41893 Location(s): OregonOffices(s): Bonneville Power Administration

  20. CX-010479: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Load Control System Reliability CX(s) Applied: A9 Date: 05/29/2013 Location(s): Wyoming Offices(s): National Energy Technology Laboratory

  1. FE Categorical Exclusions | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    8, 2011 CX-006459: Categorical Exclusion Determination Analytical Physics - Transmission Electron Microscopy (TEM) CX(s) Applied: B3.6 Date: 08082011 Location(s): Albany, Oregon...

  2. CX-012619: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chromatography and Analytical Sensor Measurements CX(s) Applied: B3.6Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  3. CX-007587: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gas Chromatography CX(s) Applied: B3.6 Date: 12/29/2011 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  4. CX-009202: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Port Angeles Substation Equipment Additions CX(s) Applied: B4.6 Date: 09/14/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  5. CX-012791: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grizzly Captain Jack Transmission Line Access Road Acquisition CX(s) Applied: B1.24Date: 41935 Location(s): OregonOffices(s): Bonneville Power Administration

  6. CX-010772: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Water Security Test Bed (WSTB) CX(s) Applied: B3.6 Date: 07/17/2013 Location(s): Idaho Offices(s): Nuclear Energy

  7. CX-012706: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Radiochemistry Laboratory (RCL) Supply Intake Filter Housing CX(s) Applied: B2.5Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy

  8. CX-012433: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computer Simulation and Prototype Construction and Testing CX(s) Applied: A9Date: 41878 Location(s): GeorgiaOffices(s): National Energy Technology Laboratory

  9. CX-008571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Project Blue Energy CX(s) Applied: A9 Date: 06/20/2012 Location(s): Utah Offices(s): Golden Field Office

  10. CX-009442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cutters Grove, Anoka CX(s) Applied: A9, B5.19 Date: 07/31/2012 Location(s): Minnesota Offices(s): Golden Field Office

  11. FE Categorical Exclusions | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Investigation of Cathode Electrocatalytic Activity using Surfaced Engineered Thin Film Samples CX(s) Applied: B3.6 Date: 09082011 Location(s): Pittsburgh,...

  12. CX-009543: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sopogy Subcontract CX(s) Applied: A9, B5.15 Date: 11/28/2012 Location(s): Hawaii Offices(s): Golden Field Office

  13. CX-012195: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alfalfa Substation Control House Replacement CX(s) Applied: B4.11 Date: 05/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  14. CX-012469: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gas Analysis Services CX(s) Applied: B3.6Date: 41876 Location(s): OregonOffices(s): National Energy Technology Laboratory

  15. CX-012512: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Amber Kinetics Flywheel Energy Storage Demonstration CX(s) Applied: B3.6Date: 41848 Location(s): CaliforniaOffices(s): National Energy Technology Laboratory

  16. CX-008215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Small Hydropower Research and Development Technology Project CX(s) Applied: A9 Date: 04/03/2012 Location(s): Colorado Offices(s): Golden Field Office

  17. CX-012666: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Carib Energy (USA) LLC CX(s) Applied: B5.7Date: 05/30//2014 Location(s): FloridaOffices(s): Fossil Energy

  18. CX-012434: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Low Cost Titanium Casting Technology CX(s) Applied: B3.6Date: 41878 Location(s): OhioOffices(s): National Energy Technology Laboratory

  19. CX-008700: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Natapoc Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  20. CX-010727: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Dayton Tap Line Retirement CX(s) Applied: B4.10 Date: 08/13/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  1. CX-011173: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Yaak Substation Transformer Replacement CX(s) Applied: B4.6 Date: 09/18/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  2. CX-008204: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Finch CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  3. CX-008203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Demoret CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  4. CX-008241: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Teter CX(s) Applied: B5.19 Date: 05/15/2012 Location(s): Missouri Offices(s): Golden Field Office

  5. CX-008205: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Weaver CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  6. CX-009132: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Landfill Gas Utilization Plant CX(s) Applied: B5.21 Date: 08/02/2012 Location(s): New York Offices(s): Golden Field Office

  7. CX-010618: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels Project CX(s) Applied: 0 Date: 07/19/2013 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  8. CX-008438: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 06/27/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory

  9. CX-008282: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 05/01/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory

  10. CX-010339: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Flight's End Property Funding CX(s) Applied: B1.25 Date: 05/20/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  11. CX-012311: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Accelerator Test Facility II CX(s) Applied: B3.10 Date: 05/28/2014 Location(s): New York Offices(s): Brookhaven Site Office

  12. CX-007866: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SunShot Massachusetts CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Massachusetts Offices(s): Golden Field Office

  13. CX-012570: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Install Elevated Fire Water Storage Tank CX(s) Applied: B2.5Date: 41862 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  14. CX-012231: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mica Peak Radio Station upgrade CX(s) Applied: B1.19 Date: 06/09/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  15. CX-009850: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pittsburgh Nanomaterials Preparation Lab CX(s) Applied: B3.6 Date: 01/29/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  16. CX-011534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grays River Confluence Property Funding CX(s) Applied: B1.25 Date: 11/08/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  17. CX-012656: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    North Bend Communication Site Engine Generator Replacement CX(s) Applied: B1.3Date: 41848 Location(s): WashingtonOffices(s): Bonneville Power Administration

  18. CX-010195: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Polymer Synthesis Lab - Modification CX(s) Applied: B3.6 Date: 04/15/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  19. CX-007779: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Routine Maintenance CX(s) Applied: B1.3 Date: 01/13/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  20. CX-009159: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Montana Formaul State Energy Program CX(s) Applied: A9, A11 Date: 09/06/2012 Location(s): Montana Offices(s): Golden Field Office

  1. CX-007522: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Crane Removal Project CX(s) Applied: B1.23 Date: 12/15/2011 Location(s): Tennessee Offices(s): Y-12 Site Office

  2. CX-012645: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wenatchee District 2014 Transmission Line Maintenance - Multiple Lines CX(s) Applied: B1.3Date: 41862 Location(s): WashingtonOffices(s): Bonneville Power Administration

  3. CX-010237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pittsburgh Green Innovators Synergy Center CX(s) Applied: A9 Date: 02/28/2013 Location(s): Pennsylvania Offices(s): Golden Field Office

  4. CX-007650: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Control Room Consolidation CX(s) Applied: B2.2 Date: 12/29/2011 Location(s): South Carolina Offices(s): Savannah River Operations Office

  5. CX-012653: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Holcomb-Naselle #1 Access Road Improvements CX(s) Applied: B1.3Date: 41855 Location(s): WashingtonOffices(s): Bonneville Power Administration

  6. CX-012643: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chehalis-Covington #1 Access Roads CX(s) Applied: B1.13Date: 41865 Location(s): WashingtonOffices(s): Bonneville Power Administration

  7. CX-012641: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mossy Rock-Chehalis #1 Access Road Maintenance CX(s) Applied: B1.3Date: 41865 Location(s): WashingtonOffices(s): Bonneville Power Administration

  8. CX-010514: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Center for Nanoscale Energy CX(s) Applied: B3.6 Date: 06/24/2013 Location(s): North Dakota Offices(s): Golden Field Office

  9. CX-007778: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Support Buildings CX(s) Applied: B1.15 Date: 01/13/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  10. CX-010091: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Power Line Configuration 2013-1 CX(s) Applied: B4.13 Date: 04/15/2012 Location(s): Idaho Offices(s): Nuclear Energy

  11. CX-010398: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Power Line Configuration CX(s) Applied: B4.13 Date: 04/25/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  12. CX-009312: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pecan Street Smart Grid Extension Service CX(s) Applied: A9 Date: 08/30/2012 Location(s): Texas Offices(s): National Energy Technology Laboratory

  13. CX-100159 Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Proposed Rulemaking for Energy Conservation Standards for Commercial and Industrial Pumps RIN: 1904-AC54 CX(s) Applied: B5.1

  14. CX-011065: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels Project CX(s) Applied: A1 Date: 08/29/2013 Location(s): Kansas Offices(s): National Energy Technology Laboratory

  15. CX-011788: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    I-75 Green Corridor Project CX(s) Applied: A1 Date: 02/10/2014 Location(s): Tennessee Offices(s): National Energy Technology Laboratory

  16. CX-007497: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clean Energy Coalition - Michigan Green Fleets CX(s) Applied: A1 Date: 12/06/2011 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  17. CX-011712: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Midwest Region Alternative Fuels Project CX(s) Applied: A1 Date: 01/08/2014 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  18. CX-010938: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Midwest Region Alternative Fuels Project CX(s) Applied: A1 Date: 09/17/2013 Location(s): Kansas, Kansas Offices(s): National Energy Technology Laboratory

  19. CX-011271: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Idaho Petroleum Reduction Leadership Project CX(s) Applied: A1 Date: 09/30/2013 Location(s): Idaho Offices(s): National Energy Technology Laboratory

  20. CX-012722: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Test Reactor Area (TRA)-653 Conference Room Modifications CX(s) Applied: B1.15Date: 41829 Location(s): IdahoOffices(s): Nuclear Energy

  1. CX-012189: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Microbial Laboratory Analysis CX(s) Applied: B3.12 Date: 05/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  2. CX-010797: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Serration Behavior of High Entropy Alloys CX(s) Applied: A9 Date: 08/14/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  3. CX-012632: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140456 - Salmon Creek Avenue Pathway Project CX(s) Applied: B4.9Date: 41885 Location(s): WashingtonOffices(s): Bonneville Power Administration

  4. CX-009203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ross Maintenance Headquarters Project CX(s) Applied: B1.15 Date: 09/19/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  5. CX-012788: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bio-Aviation Fuel LCA with GREET CX(s) Applied: B5.15Date: 41906 Location(s): IllinoisOffices(s): Argonne Site Office

  6. CX-011069: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Induction Furnace Melting CX(s) Applied: B3.6 Date: 08/29/2013 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  7. CX-010768: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    ZIRCEX Nuclear Fuel Dissolution Testing CX(s) Applied: B3.6 Date: 08/12/2013 Location(s): Idaho Offices(s): Nuclear Energy

  8. CX-012002: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Raver-Covington Conductor Replacement CX(s) Applied: B1.3 Date: 04/24/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  9. CX-007795: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Easement Acquisition, Carroll County, Arkansas CX(s) Applied: B1.24 Date: 02/07/2011 Location(s): Arkansas Offices(s): Southwestern Power Administration

  10. CX-008161: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Prosser Hatchery Backup Generator Replacement CX(s) Applied: B1.31 Date: 04/16/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  11. CX-012472: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Technology Integration Program CX(s) Applied: A9, A11, B3.11Date: 41873 Location(s): OhioOffices(s): National Energy Technology Laboratory

  12. CX-007613: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Next Generation Ultra Lean Burn Powertrain CX(s) Applied: A9 Date: 01/10/2012 Location(s): California Offices(s): National Energy Technology Laboratory

  13. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  14. CX-012495: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building 6 Stack Replacement CX(s) Applied: B1.3Date: 41855 Location(s): West VirginiaOffices(s): National Energy Technology Laboratory

  15. CX-007428: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ralls Independent School District CX(s) Applied: B5.18 Date: 12/20/2011 Location(s): Texas Offices(s): Golden Field Office

  16. CX-007423: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Highland Independent School District CX(s) Applied: B5.18 Date: 12/13/2011 Location(s): Texas Offices(s): Golden Field Office

  17. CX-007426: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sharyland Independent School District CX(s) Applied: B5.16 Date: 12/13/2011 Location(s): Texas Offices(s): Golden Field Office

  18. CX-010150: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Celilo Fiber System CX(s) Applied: B4.7 Date: 04/15/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  19. CX-009587: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    City of Houston, Texas CX(s) Applied: B5.1 Date: 12/12/2012 Location(s): Texas Offices(s): Golden Field Office

  20. CX-012228: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deer Park Substation Connection Modifications CX(s) Applied: B4.11 Date: 06/17/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  1. CX-012333: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Support Buildings CX(s) Applied: B1.15 Date: 06/03/2014 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  2. CX-006646: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Restoration South of 54-TPX-10CX(s) Applied: B6.1Date: 02/09/2010Location(s): Casper, WyomingOffice(s): RMOTC

  3. CX-012796: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Big Eddy-Redmond #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41919 Location(s): OregonOffices(s): Bonneville Power Administration

  4. CX-008471: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Tree Planting Initiative - Rebuild Western Mass CX(s) Applied: A1 Date: 06/08/2012 Location(s): Massachusetts Offices(s): National Energy Technology Laboratory

  5. CX-012803: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sacajawea Substation Expansion and Upgrade CX(s) Applied: B4.6Date: 41912 Location(s): WashingtonOffices(s): Bonneville Power Administration

  6. CX-012665: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cheniere Marketing, LLC CX(s) Applied: B5.7Date: 06/04/2014 Location(s): Multiple LocationsOffices(s): Fossil Energy

  7. CX-011707: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Laser Nanoparticle Lab CX(s) Applied: B3.6 Date: 01/15/2014 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  8. CX-008341: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A-6 Office Building CX(s) Applied: B1.15 Date: 04/19/2012 Location(s): Pennsylvania Offices(s): Naval Nuclear Propulsion Program

  9. CX-011177: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hebo Substation Access Road Maintenance CX(s) Applied: B1.3 Date: 09/13/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  10. CX-006491: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Categorical Exclusion Determination CX-006491: Categorical Exclusion Determination Photovoltaic Manufacturing Consortium CX(s) Applied: B3.6 Date: 09012011 Location(s): Florida...

  11. CX-007873: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-007873: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  12. CX-007867: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-007867: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.16 Date: 01272012...

  13. CX-012640: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lexington-Longview #1 Access Road Maintenance CX(s) Applied: B1.3Date: 41865 Location(s): WashingtonOffices(s): Bonneville Power Administration

  14. CX-011189: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Naselle Ridge Emergency Generator Replacement CX(s) Applied: B4.6 Date: 08/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  15. CX-011237: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Lightspeed Networks Inc. Fiber Installation CX(s) Applied: B4.9 Date: 10/24/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  16. CX-010756: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Utility Network Deployment Acceleration CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Virginia Offices(s): Golden Field Office

  17. CX-011102: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    American Solar Transformation Initiative CX(s) Applied: A11 Date: 08/09/2013 Location(s): California Offices(s): Golden Field Office

  18. CX-012790: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Haystack Butte Radio Site Land Acquisition CX(s) Applied: B1.24Date: 41939 Location(s): WashingtonOffices(s): Bonneville Power Administration

  19. CX-010426: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Vista View Fields Land Acquisition CX(s) Applied: B1.25 Date: 06/19/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  20. CX-008250: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Geotechnical Core Drilling for USGS 138 CX(s) Applied: B3.1 Date: 04/18/2012 Location(s): Idaho Offices(s): Nuclear Energy

  1. CX-010699: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    North Boulevard Annex Lease Termination CX(s) Applied: B1.24 Date: 07/11/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  2. CX-008251: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    International Way Office Building Lease Termination CX(s) Applied: B1.24 Date: 03/21/2012 Location(s): Idaho Offices(s): Nuclear Energy

  3. CX-007793: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Jonesboro Maintenance Facility Additions CX(s) Applied: B1.15 Date: 05/10/2011 Location(s): Arkansas Offices(s): Southwestern Power Administration

  4. CX-007794: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grandview, Arkansas Interconnection CX(s) Applied: B4.12 Date: 04/08/2011 Location(s): Arkansas Offices(s): Southwestern Power Administration

  5. CX-007798: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Springfield Maintenance Garage CX(s) Applied: B1.15 Date: 12/08/2010 Location(s): Missouri Offices(s): Southwestern Power Administration

  6. CX-009704: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pasco Land Acquisition CX(s) Applied: B1.24 Date: 12/17/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  7. CX-008684: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metaline Radio Station Upgrade Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  8. CX-008989: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    State Energy Program CX(s) Applied: A9, A11 Date: 08/27/2012 Location(s): Kansas Offices(s): Golden Field Office

  9. CX-012728: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    BHP-3 Offsite Bump Repair CX(s) Applied: B1.3Date: 41885 Location(s): TexasOffices(s): Strategic Petroleum Reserve Field Office

  10. CX-009786: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Beck Road Substation Meter Installation CX(s) Applied: B1.7 Date: 01/07/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  11. CX-010742: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Integrated Simulation Development and Decision Support CX(s) Applied: A9 Date: 08/15/2013 Location(s): California Offices(s): Golden Field Office

  12. CX-012730: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace West Hackberry Radio Tower CX(s) Applied: B1.19Date: 41880 Location(s): LouisianaOffices(s): Strategic Petroleum Reserve Field Office

  13. CX-012531: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Distributed Wireless Antenna Sensors for Boiler Condition CX(s) Applied: B3.6Date: 41836 Location(s): CaliforniaOffices(s): National Energy Technology Laboratory

  14. CX-012539: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Distributed Wireless Antenna Sensors for Boiler Condition CX(s) Applied: B3.6Date: 41836 Location(s): TexasOffices(s): National Energy Technology Laboratory

  15. CX-010019: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Iodine Speciation CX(s) Applied: B3.6 Date: 01/28/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  16. CX-009295: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Regional Innovation Cluster CX(s) Applied: B3.6 Date: 09/05/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  17. CX-001856: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination Rural Cooperative Geothermal Development Electric and Agriculture CX(s) Applied: B3.1 Date: 04282010 Location(s): Paisley, Oregon Office(s): Energy...

  18. CX-010763: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    CX-010763: Categorical Exclusion Determination Nevada Desert Research Institute- Photovoltaic Installation CX(s) Applied: B5.16 Date: 07172013 Location(s): Nevada Offices(s):...

  19. CX-010258: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bangladesh Meteorological Instrumentation Installation CX(s) Applied: A9 Date: 04/26/2013 Location(s): Colorado Offices(s): Golden Field Office

  20. CX-012482: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mid-Atlantic Regional Infrastructure Development Project CX(s) Applied: B5.22Date: 41862 Location(s): MarylandOffices(s): National Energy Technology Laboratory